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ORCIDCoRR, March 2025
Volume 2025-03, March 2025
- Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea:
Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization. - Rakeen Rouf, Trupti Bavalatti, Osama Ahmed, Dhaval Potdar, Faraz Jawed:
A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety. - Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova, Alexander Kozlov, Nilesh Jain:
KVCrush: Key value cache size-reduction using similarity in head-behaviour. - Yanran Chen, Steffen Eger:
Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks. - Carlos Luengo Vera
, Ignacio Ferro Picon, M. Teresa del Val Nunez, Jose Andres Gomez Gandia, Antonio de Lucas Ancillo, Victor Ramos Arroyo, Carlos Milan Figueredo:
Evaluating Large Language Models on the Spanish Medical Intern Resident (MIR) Examination 2024/2025:A Comparative Analysis of Clinical Reasoning and Knowledge Application. - Haoyu Yang, Sanjoy Dey, Pablo Meyer:
Genetics-Driven Personalized Disease Progression Model. - Hongming Zhang, Ruixin Hong, Dong Yu:
Streaming Looking Ahead with Token-level Self-reward. - Xiaohang Tang, Sangwoong Yoon, Seongho Son, Huizhuo Yuan, Quanquan Gu, Ilija Bogunovic:
Game-Theoretic Regularized Self-Play Alignment of Large Language Models. - Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang:
Efficient Test-Time Scaling via Self-Calibration. - Shinwoo Park, Shubin Kim, Do-Kyung Kim, Yo-Sub Han:
Detecting LLM-Generated Korean Text through Linguistic Feature Analysis. - Akshay Sathiya, Rohit Pandey:
optimizn: a Python Library for Developing Customized Optimization Algorithms. - Hongyi Cai, Yuqian Fu, Hongming Fu, Bo Zhao:
MergeIT: From Selection to Merging for Efficient Instruction Tuning. - Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu:
Constraining Sequential Model Editing with Editing Anchor Compression. - Wei Zhao, Zhe Li, Yige Li, Jun Sun:
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs. - Yu Yan, Sheng Sun, Zenghao Duan, Teli Liu, Min Liu, Zhiyi Yin, Qi Li, Jiangyu Lei:
from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors. - Dehao Zhang, Shuai Wang, Yichen Xiao, Wenjie Wei, Yimeng Shan, Malu Zhang, Yang Yang:
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks. - Nilay Yilmaz, Maitreya Patel, Yiran Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang:
VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. - Shuaiang Rong, Lina He, Salih Furkan Atici, Ahmet Enis Çetin:
Advanced YOLO-based Real-time Power Line Detection for Vegetation Management. - Bin Xie, Yingfei Liu, Tiancai Wang, Jiale Cao, Xiangyu Zhang:
Glad: A Streaming Scene Generator for Autonomous Driving. - Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li:
Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity. - Jiamin Luo, Jingjing Wang, Junxiao Ma, Yujie Jin, Shoushan Li, Guodong Zhou:
Omni-SILA: Towards Omni-scene Driven Visual Sentiment Identifying, Locating and Attributing in Videos. - Quan Quan, Dun Dai:
Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision. - Yan Su, Qiulin Wu, Weizhen Li, Chengchang Pan, Honggang Qi:
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning. - Tasnim Ahmed, Salimur Choudhury:
AI and Semantic Communication for Infrastructure Monitoring in 6G-Driven Drone Swarms. - Sarmistha Das, Basha Mujavarsheik, R. E. Zera Lyngkhoi, Sriparna Saha, Alka Maurya:
Deciphering the complaint aspects: Towards an aspect-based complaint identification model with video complaint dataset in finance. - Henry Lei, Zachary S. Lippay, Anonto Zaman, Joshua Aurand, Amin Maghareh, Sean Phillips:
Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed. - Ranjan Sapkota, Manoj Karkee:
Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10. - Samuel Ozechi:
African Gender Classification Using Clothing Identification Via Deep Learning. - Rui Hu, Delai Qiu, Shuyu Wei, Jiaming Zhang, Yining Wang, Shengping Liu, Jitao Sang:
Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models. - Youbing Hu, Yun Cheng, Anqi Lu, Dawei Wei, Zhijun Li:
SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit. - Qiusi Zhan, Richard Fang, Henil Shalin Panchal, Daniel Kang:
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents. - Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shushu Liu, Shui Yu:
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning. - Zezeng Li, Xiaoyu Du, Na Lei, Liming Chen, Weimin Wang:
NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary. - (Withdrawn) ADAGE: Active Defenses Against GNN Extraction.
- Shaojie Hou, Yuandou Wang, Zhiming Zhao:
CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. - Ziyu Wu, Yufan Xiong, Mengting Niu, Fangting Xie, Quan Wan, Qijun Ying, Boyan Liu, Xiaohui Cai:
PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing. - Karolina Stanczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Jessica Montgomery, Richard Zemel, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy:
Societal Alignment Frameworks Can Improve LLM Alignment. - Tue Nhi Tran:
Systematic Review of Cybersecurity in Banking: Evolution from Pre-Industry 4.0 to Post-Industry 4.0 in Artificial Intelligence, Blockchain, Policies and Practice. - Esam Ghaleb, Bulat Khaertdinov, Asli Özyürek, Raquel Fernández:
I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue. - Alireza Gharahighehi, Achilleas Ghinis, Michela Venturini, Frederik Cornillie, Celine Vens:
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis. - Alexander Immer, Jan-Matthis Lueckmann, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff W. Lichtman, Misha B. Ahrens, Viren Jain, Michal Januszewski:
Forecasting Whole-Brain Neuronal Activity from Volumetric Video. - Jonas le Fevre Sejersen, Erdal Kayacan:
CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. - Eva Brucherseifer, Marco Marquard, Martin Hellmann, Andrea Tundis:
Data Taxonomy Towards the Applicability of the Digital Twin Conceptual Framework in Disaster Management. - Gabriel Kenji Godoy Shimanuki, Alexandre Moreira Nascimento, Lucio Flavio Vismari, João Battista Camargo Junior, Jorge Rady de Almeida Jr., Paulo Sérgio Cugnasca:
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety. - Yi Zhang, Sanjiv Kapoor:
Equilibrium and Selfish Behavior in Network Contagion. - Xingjian Gu, Barbara J. Ericson:
AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review. - Aakanksha Sharma, Samar Shailendra, Rajan Kadel:
Experiences with Content Development and Assessment Design in the Era of GenAI. - Chong Zhang, Yukun Ma, Qian Chen, Wen Wang, Shengkui Zhao, Zexu Pan, Hao Wang, Chongjia Ni, Trung Hieu Nguyen, Kun Zhou, Yidi Jiang, Chaohong Tan, Zhifu Gao, Zhihao Du, Bin Ma:
InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music Generation. - Zhenxing Cui, Lu Chen, Yunhai Wang, Daniel Haehn, Yong Wang, Hanspeter Pfister:
Generalization of CNNs on Relational Reasoning with Bar Charts. - Ghulam Mujtaba, Sunder Ali Khowaja, Kapal Dev:
EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces. - Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan:
Rethinking LLM Bias Probing Using Lessons from the Social Sciences. - Pierre Houdouin, Manuel Ruiz, Lucas Saludjian:
Gaussian process surrogate model to approximate power grid simulators - An application to the certification of a congestion management controller. - Alejo Silvarrey, Pablo Negri:
Unmanned Aerial Vehicle (UAV)-Based Mapping of Iris Pseudacorus L. Invasion in Laguna del Sauce (Uruguay) Coast. - Nikita Soni, Pranav Chitale, Khushboo Singh, Niranjan Balasubramanian, H. Andrew Schwartz:
Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks. - Anna Beer, Lena Krieger, Pascal Weber, Martin Ritzert, Ira Assent, Claudia Plant:
DISCO: Internal Evaluation of Density-Based Clustering. - Magnus Sesodia, Alina Petrova, John Armour, Thomas Lukasiewicz, Oana-Maria Camburu, Puneet K. Dokania, Philip Torr, Christian Schröder de Witt:
AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction. - Anzhe Chen, Hongxiang Yu, Shuxin Li, Yuxi Chen, Zhongxiang Zhou, Wentao Sun, Rong Xiong, Yue Wang:
CNSv2: Probabilistic Correspondence Encoded Neural Image Servo. - Zhixian Hu, Juan P. Wachs, Yu She:
A Magnetic-Actuated Vision-Based Whisker Array for Contact Perception and Grasping. - Zhongqi Yang, Amir M. Rahmani:
Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations. - Jacopo Teneggi, J. Webster Stayman, Jeremias Sulam:
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography. - Grigor Nalbandyan, Rima Shahbazyan, Evelina Bakhturina:
SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models. - Abdessamad El-Kabid, El-Mahdi El-Mhamdi:
Approaching the Harm of Gradient Attacks While Only Flipping Labels. - Zihan Wu, Yicheng Tang, Barbara Ericson:
Learner and Instructor Needs in AI-Supported Programming Learning Tools: Design Implications for Features and Adaptive Control. - Bo Fu, Leo Tenenbaum, David Adler, Assaf Klein, Arpit Gogia, Alaa R. Alameldeen, Marco Guarnieri, Mark Silberstein, Oleksii Oleksenko, Gururaj Saileshwar:
AMuLeT: Automated Design-Time Testing of Secure Speculation Countermeasures. - Najwa Alshehri, Daniele Boffi, Chayapol Chaoveeraprasit:
Multigrid Preconditioning for FD-DLM Method in Elliptic Interface Problems. - Sanchayan Santra, Vishal M. Chudasama, Pankaj Wasnik, Vineeth N. Balasubramanian:
Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance. - Christophe Ponsard:
Model-based Elaboration of a Requirements and Design Pattern Catalogue for Sustainable Systems. - Mengzhu Katie Chen, Isabella Pedraza Pineros, Arvind Satyanarayan, Jonathan Zong:
Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults. - Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy, AbdelRahim A. Elmadany, Omer Nacar, El Moatez Billah Nagoudi, Reem Abdel-Salam, Hanin Atwany, Youssef Nafea, Abdulfattah Mohammed Yahya, Rahaf Alhamouri, Hamzah A. Alsayadi, Hiba Zayed, Sara Shatnawi, Serry Sibaee, Yasir Ech-Chammakhy, Walid Al-Dhabyani, Marwa Mohamed Ali, Imen Jarraya, Ahmed Oumar El-Shangiti, Aisha Alraeesi, Mohammed Anwar Al-Ghrawi, Abdulrahman S. Al-Batati, Elgizouli Mohamed, Noha Taha Elgindi, Muhammed Saeed, Houdaifa Atou, Issam Ait Yahia, Abdelhak Bouayad, Mohammed Machrouh, Amal Makouar, Dania Alkawi, Mukhtar Mohamed, Safaa Taher Abdelfadil, Amine Ziad Ounnoughene, Rouabhia Anfel, Rwaa Assi, Ahmed Sorkatti, Mohamedou Cheikh Tourad, Anis Koubaa, Ismail Berrada, Mustafa Jarrar, Shady Shehata, Muhammad Abdul-Mageed:
Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs. - Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation. - Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev:
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction. - Kangda Wei, Zhengyu Zhou, Bingqing Wang, Jun Araki, Lukas Lange, Ruihong Huang, Zhe Feng:
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos. - Krti Tallam:
Transforming Cyber Defense: Harnessing Agentic and Frontier AI for Proactive, Ethical Threat Intelligence. - Kuangyi Chen, Jun Zhang, Friedrich Fraundorfer:
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration. - Benedikt Blumenstiel, Nassim Ait Ali Braham, Conrad M. Albrecht, Stefano Maurogiovanni, Paolo Fraccaro:
SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated. - Roi Bar Zur, Ittay Eyal:
Elastic Restaking Networks. - Denis Musinguzi, Andrew Katumba, Sudi Murindanyi:
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation. - Zhiqiu Xia, Jinxuan Xu, Yuqian Zhang, Hang Liu:
A Survey of Uncertainty Estimation Methods on Large Language Models. - Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar:
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. - Reza Bayat, Ali Rahimi-Kalahroudi, Mohammad Pezeshki, Sarath Chandar, Pascal Vincent:
Steering Large Language Model Activations in Sparse Spaces. - Lili Lu, Chuan Meng, Federico Ravenda, Mohammad Aliannejadi, Fabio Crestani:
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search. - Osama A. Marzouk:
Condenser Pressure Influence on Ideal Steam Rankine Power Vapor Cycle using the Python Extension Package Cantera for Thermodynamics. - Michael Park, Erin Leahey, Russell J. Funk:
Robust Evidence for Declining Disruptiveness: Assessing the Role of Zero-Backward-Citation Works. - Hanjiang Hu, Alexander Robey, Changliu Liu:
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. - Xinhang Ma, Junlin Wu, Hussein Sibai, Yiannis Kantaros, Yevgeniy Vorobeychik:
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees. - Md Nur-A-Adam Dony, Jing Yang:
Adaptive Reinforcement Learning for State Avoidance in Discrete Event Systems. - Federico Pizarro Bejarano, Bryson Jones, Daniel Pastor Moreno, Joseph Bowkett, Paul G. Backes, Angela P. Schoellig:
ProDapt: Proprioceptive Adaptation using Long-term Memory Diffusion. - Paula Ebner, Jessica Szczuka:
Predicting Romantic Human-Chatbot Relationships: A Mixed-Method Study on the Key Psychological Factors. - Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel:
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion. - Shuang Li, Yihuai Gao, Dorsa Sadigh, Shuran Song:
Unified Video Action Model. - Keroshan Pillay:
Path Dependence in AMM-Based Markets: Mathematical Proof and Implications for Truth Discovery. - Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara:
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. - William Nguyen, An Phan, Konobu Kimura, Hitoshi Maeno, Mika Tanaka, Quynh Le, William Poucher, Christopher Nguyen:
Llamarine: Open-source Maritime Industry-specific Large Language Model. - Mikolaj Rogóz, Zofia Dziekan, Piotr Wasylczyk:
Survival of the fastest - algorithm-guided evolution of light-powered underwater microrobots. - Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang:
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies. - Naveen Mysore:
Quantifying First-Order Markov Violations in Noisy Reinforcement Learning: A Causal Discovery Approach. - Vu Minh Hoang Dang, Rakesh M. Verma:
Autoencoder-Based Framework to Capture Vocabulary Quality in NLP. - Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou:
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction. - Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li:
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models. - Haichuan Li, Ziang Zhao, Ziniu Wu, Parth Potdar, Long Tran, Ali Tahir Karasahin, Shane Windsor, Stephen G. Burrow, Basaran Bahadir Kocer:
Tendon-driven Grasper Design for Aerial Robot Perching on Tree Branches. - Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han:
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. - K. O. T. Erziev:
À la recherche du sens perdu: your favourite LLM might have more to say than you can understand. - Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma:
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Melih Iseri, Erhan Bayraktar:
The Learning Approach to Games. - Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman:
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. - Sharan Vaswani, Reza Babanezhad:
Armijo Line-search Makes (Stochastic) Gradient Descent Go Fast. - Samar Mohamed Magdy, Sang Yun Kwon, Fakhraddin Alwajih, Safaa Abdelfadil, Shady Shehata, Muhammad Abdul-Mageed:
Jawaher: A Multidialectal Dataset of Arabic Proverbs for LLM Benchmarking. - Kaleab Alemayehu Kinfu, René Vidal:
Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation. - Lukasz Sztukiewicz, Ignacy Stepka, Michal Wilinski, Jerzy Stefanowski:
Towards Fairness for the Right Reasons: Using Saliency Maps to Evaluate Bias Removal in Neural Networks. - Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer:
Agentic AI Needs a Systems Theory. - Victor De Lima, Grace Hui Yang:
Passage Query Methods for Retrieval and Reranking in Conversational Agents. - Marius F. R. Juston, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu:
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem. - Patrick Huber, Akshat Shrivastava, Ernie Chang, Chinnadhurai Sankar, Ahmed Aly, Adithya Sagar:
CoSMoEs: Compact Sparse Mixture of Experts. - Michal Wichrowski:
Matrix-Free Ghost Penalty Evaluation via Tensor Product Factorization. - Lukas William Mayer, Sheer Karny, Jackie Ayoub, Miao Song, Danyang Tian, Ehsan Moradi-Pari, Mark Steyvers:
Human-AI Collaboration: Trade-offs Between Performance and Preferences. - Abhiroop Ajith, Gokul Narayanan, Jonathan Zornow, Carlos Calle, Auralis Herrero Lugo, Jose Luis Susa Rincon, Chengtao Wen, Eugen Solowjow:
Robotic Automation in Apparel Manufacturing: A Novel Approach to Fabric Handling and Sewing. - Yanan Niu, Roy Sarkis, Demetri Psaltis, Mario Paolone, Christophe Moser, Luisa Lambertini:
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series. - Mohammad Reza Fasihi, Brian L. Mark:
Traffic Priority-Aware 5G NR-U/Wi-Fi Coexistence with Deep Reinforcement Learning. - Tram Thi Minh Tran:
Doraemon's Gadget Lab: Unpacking Human Needs and Interaction Design in Speculative Technology. - Guangsheng Bao, Lihua Rong, Yanbin Zhao, Qiji Zhou, Yue Zhang:
Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text. - Mohammad Reza Fasihi, Brian L. Mark:
QaSAL: QoS-aware State-Augmented Learnable Algorithms for Coexistence of 5G NR-U/Wi-Fi. - Yufan Zhang, Yu Ji, Yu Guo, Jinwei Ye:
Seeing A 3D World in A Grain of Sand. - Maaz Qureshi, Alexander Werner, Zhenan Liu, Amir Khajepour, George Shaker, William Melek:
CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Sensing. - Babak Ghanbari, Robert Sámal:
On the time complexity of finding a well-spread perfect matching in bridgeless cubic graphs. - Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian, Ilker Hacihaliloglu, Dena Shahriari:
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality. - Asghar A. Jadoon, D. Thomas Seidl, Reese E. Jones, Jan Niklas Fuhg:
Input Specific Neural Networks. - Jahan C. Penny-Dimri, Magdalena Bachmann, William R. Cooke, Sam Mathewlynn, Samuel Dockree, John Tolladay, Jannik Kossen, Lin Li, Yarin Gal, Gabriel Davis Jones:
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy. - Kelechi G. Kalu, Sofia Okorafor, Tanmay Singla, Santiago Torres-Arias, James C. Davis:
Why Johnny Signs with Sigstore: Examining Tooling as a Factor in Software Signing Adoption in the Sigstore Ecosystem. - Haoxin Li, Yingchen Yu, Qilong Wu, Hanwang Zhang, Song Bai, Boyang Li:
Learning to Animate Images from A Few Videos to Portray Delicate Human Actions. - Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill, Ritvik Garimella, Harshul Surana, Heather Heckman, Amit P. Sheth:
NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews. - Masatoshi Hidaka, Tatsuya Harada:
WgPy: GPU-accelerated NumPy-like array library for web browsers. - Jianqi Zhou, Zhongyi Zhang, Jiong Guo:
An FPT Constant-Factor Approximation Algorithm for Correlation Clustering. - Ali Tahir Karasahin, Ziniu Wu, Basaran Bahadir Kocer:
Maintaining Plasticity in Reinforcement Learning: A Cost-Aware Framework for Aerial Robot Control in Non-stationary Environments. - Victor Nikhil Antony, Maia Stiber, Chien-Ming Huang:
Xpress: A System For Dynamic, Context-Aware Robot Facial Expressions using Language Models. - Maaz Qureshi, Kerstin Dautenhahn:
Human-Robot Collaboration: A Non-Verbal Approach with the NAO Humanoid Robot. - Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo:
A Unified Framework for Heterogeneous Semi-supervised Learning. - Heng Zhang, Gökhan Solak, Sebastian Hjorth, Arash Ajoudani:
Towards Passive Safe Reinforcement Learning: A Comparative Study on Contact-rich Robotic Manipulation. - Joshua Leong Wei Ren, Thomas M. Kwok:
A Practical Sensing Interface for Exoskeleton Evaluation in Workplaces using Interface Forces. - Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi:
Robust Multi-Objective Preference Alignment with Online DPO. - Benjamin Hoffman, David Robinson, Marius Miron, Vittorio Baglione, Daniela Canestrari, Damian Elias, Eva Trapote, Olivier Pietquin:
Synthetic data enables context-aware bioacoustic sound event detection. - Jiacheng Yao, Wei Xu, Guangxu Zhu, Kaibin Huang, Shuguang Cui:
Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks. - Junhui Shen, Aaron J. Davis, Ding Lu, Zhaojun Bai:
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization. - Chunyang Liao, Deanna Needell, Hayden Schaeffer:
Cauchy Random Features for Operator Learning in Sobolev Space. - Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang:
Differential Coding for Training-Free ANN-to-SNN Conversion. - Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan:
Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. - Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
Efficient Fault Diagnosis in Lithium-Ion Battery Packs: A Structural Approach with Moving Horizon Estimation. - Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao:
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov:
Remasking Discrete Diffusion Models with Inference-Time Scaling. - Yangge Li, Chenxi Ji, Xiangru Zhong, Huan Zhang, Sayan Mitra:
Abstract Rendering: Computing All that is Seen in Gaussian Splat Scenes. - Yuxin Yang, Haoyang Wu, Tao Wang, Jia Yang, Hao Ma, Guojie Luo:
Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM. - Shubham Aggarwal, Tamer Basar, Dipankar Maity:
Communication and Control Co-design in Non-cooperative Games. - Chit Yuen Lam, Ronald Clark, Basaran Bahadir Kocer:
XIRVIO: Critic-guided Iterative Refinement for Visual-Inertial Odometry with Explainable Adaptive Weighting. - Zhaoxi Jiang, Fei Wang:
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs. - Seunghyun Moon, Mao Li, Gregory K. Chen, Phil C. Knag, Ram Krishnamurthy, Mingoo Seok:
T-REX: A 68-567 μs/token, 0.41-3.95 μJ/token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET. - Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Raza Butt, Ali Anwar:
FLStore: Efficient Federated Learning Storage for non-training workloads. - Sk. Tanzir Mehedi, Chadni Islam, Gowri Sankar Ramachandran, Raja Jurdak:
DySec: A Machine Learning-based Dynamic Analysis for Detecting Malicious Packages in PyPI Ecosystem. - Zhiwei Ling, Yachen Chang, Hailiang Zhao, Xinkui Zhao, Kingsum Chow, Shuiguang Deng:
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging. - Benjamin Schneider, Florian Kerschbaum, Wenhu Chen:
ABC: Achieving Better Control of Multimodal Embeddings using VLMs. - Yao Yao, Yifei Yang, Xinbei Ma, Dongjie Yang, Zhuosheng Zhang, Zuchao Li, Hai Zhao:
How Deep is Love in LLMs' Hearts? Exploring Semantic Size in Human-like Cognition. - Hajar Kazemi Naeini, Roya Shomali, Abolhassan Pishahang, Hamidreza Hasanzadeh, Mahdieh Mohammadi, Saeid Asadi, Ahmad Gholizadeh Lonbar:
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security. - Jennifer Mickel, Maria De-Arteaga, Leqi Liu, Kevin Tian:
More of the Same: Persistent Representational Harms Under Increased Representation. - Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong:
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. - Chunxiao Ning, Yazhou Xie:
Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information. - Xinyan Yu, Marius Hoggenmueller, Tram Thi Minh Tran, Yiyuan Wang, Qiuming Zhang, Martin Tomitsch:
Peek into the 'White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty. - Haojun Chen, Minghao Liu, Xiaojian Ma, Zailin Ma, Huimin Wu, Chengdong Ma, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang:
Fast Visuomotor Policies via Partial Denoising. - Takumi Ito, Hayato Kawashima, Riku Funada, Mitsuji Sampei:
Feasible Force Set Shaping for a Payload-Carrying Platform Consisting of Tiltable Multiple UAVs Connected Via Passive Hinge Joints. - Jiani Wang, Xiaochuan Xu, Peiyang Yu, Zeqiu Xu:
Hierarchical Multi-Stage BERT Fusion Framework with Dual Attention for Enhanced Cyberbullying Detection in Social Media. - Seokju Lee, Hyun-Bin Kim, Kyung-Soo Kim:
Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator. - Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang:
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. - Samuel Garske, Konrad Heidler, Bradley J. Evans, K. C. Wong, Xiao Xiang Zhu:
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping. - Yunfan Gao, Yun Xiong, Wenlong Wu, Zijing Huang, Bohan Li, Haofen Wang:
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack. - Tianyi Huang, Elsa Fan:
Structured Reasoning for Fairness: A Multi-Agent Approach to Bias Detection in Textual Data. - Bao Tran, T. N. Khanh, Khang Nguyen Tuong, Thien Dang, Quang Nguyen, Nguyen T. Thinh, Vo T. Hung:
BERT-based model for Vietnamese Fact Verification Dataset. - Yu-Ting Zhan, Cheng-Yuan Ho, Hebi Yang, Yi-Hsin Chen, Jui-Chiu Chiang, Yu-Lun Liu, Wen-Hsiao Peng:
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression. - Smruti P. Dash, Kedar V. Khandeparkar, Nipun Agrawal:
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid. - Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong:
Solving Instance Detection from an Open-World Perspective. - Wei Suo, Lijun Zhang, Mengyang Sun, Lin Yuanbo Wu, Peng Wang, Yanning Zhang:
Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding. - Yaowei Guo, Jiazheng Xing, Xiaojun Hou, Shuo Xin, Juntao Jiang, Demetri Terzopoulos, Chenfanfu Jiang, Yong Liu:
CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion. - David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo:
Approaching the Limits to EFL Writing Enhancement with AI-generated Text and Diverse Learners. - Nicholas Pfaff, Evelyn Fu, Jeremy Binagia, Phillip Isola, Russ Tedrake:
Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups. - Xuehao Gao, Yang Yang, Shaoyi Du, Guo-Jun Qi, Junwei Han:
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis. - Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu:
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning. - Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Tom Weidong Cai:
MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Uncoordinated Access to Serverless Computing in MEC Systems for IoT. - Yingchao Zhang, Cheng Liu:
Few-shot crack image classification using clip based on bayesian optimization. - Guixu Lin, Muyao Niu, Qingtian Zhu, Zhengwei Yin, Zhuoxiao Li, Shengfeng He, Yinqiang Zheng:
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach. - Rickard Brännvall:
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning. - Renato Cordeiro de Amorim, Vladimir Makarenkov:
Improving clustering quality evaluation in noisy Gaussian mixtures. - Hengye Yang, Yanxiao Chen, Zexuan Fan, Lin Shao, Tao Sun:
Adaptive Wall-Following Control for Unmanned Ground Vehicles Using Spiking Neural Networks. - Xuehao Gao, Yang Yang, Shaoyi Du, Yang Wu, Yebin Liu, Guo-Jun Qi:
EigenActor: Variant Body-Object Interaction Generation Evolved from Invariant Action Basis Reasoning. - Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Lingyu Duan, Alex C. Kot, Xudong Jiang:
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems. - Nandish Chattopadhyay, Abdul Basit, Bassem Ouni, Muhammad Shafique:
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges. - Yunian Pan, Tao Li, Quanyan Zhu:
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective. - Yuto Shibata, Yusuke Oumi, Go Irie, Akisato Kimura, Yoshimitsu Aoki, Mariko Isogawa:
BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds. - Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng:
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving. - Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi:
Reservoir Network with Structural Plasticity for Human Activity Recognition. - Haolin Wang, Zeren Lv, Hao Wei, Haijiang Zhu, Yihong Wu:
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction. - Juan Song, Lijie Yang, Mingtao Feng:
Taming Large Multimodal Agents for Ultra-low Bitrate Semantically Disentangled Image Compression. - Xiang Zheng, Haodong Jiang, Junfeng Wu:
Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem. - Zongru Wu, Pengzhou Cheng, Zheng Wu, Tianjie Ju, Zhuosheng Zhang, Gongshen Liu:
Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks. - Song Yu, Shengyuan Lin, Shufeng Gong, Yongqing Xie, Ruicheng Liu, Yijie Zhou, Ji Sun, Yanfeng Zhang, Guoliang Li, Ge Yu:
A Topology-Aware Localized Update Strategy for Graph-Based ANN Index. - Cezar-Constantin Andrici, Danel Ahman, Catalin Hritcu, Ruxandra Icleanu, Guido Martínez, Exequiel Rivas, Théo Winterhalter:
SecRef*: Securely Sharing Mutable References Between Verified and Unverified Code in F. - Fan Yang, Haiyun Dong, Maojun Li, Kun Wang:
Mass conservation, positivity and energy identical-relation preserving scheme for the Navier-Stokes equations with variable density. - Fan Wan, Yuchen Li, Xueqi Qiu, Rui Sun, Leyuan Zhang, Xingyu Miao, Tianyu Zhang, Haoran Duan, Yang Long:
Asynchronous Personalized Federated Learning through Global Memorization. - Mohammad Atif, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin:
A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading. - Zhaoyi Tian, Feifeng Wang, Shiwei Wang, Zihao Zhou, Yao Zhu, Liquan Shen:
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm. - Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He:
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. - Xin Lin, Chong Shi, Zuopeng Yang, Haojin Tang, Zhili Zhou:
SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection. - Junzhe Yu, Yi Liu, Huijia Sun, Ling Shi, Yuqi Chen:
Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models. - Lucky Susanto, Musa Izzanardi Wijanarko, Prasetia Anugrah Pratama, Zilu Tang, Fariz Akyas, Traci Hong, Ika Idris, Alham Aji, Derry Wijaya:
A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information. - Abdolreza Amiri, Gabriel R. Barrenechea, Tristan Pryer:
A nodally bound-preserving finite element method for time-dependent convection-diffusion equations. - Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. - Kazufumi Ito, Bangti Jin, Fengru Wang, Jun Zou:
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data. - Daniele A. Di Pietro, Jérôme Droniou:
From Finite Elements to Hybrid High-Order methods. - Magnus Cunow, Gerrit Großmann:
Auto-encoding Molecules: Graph-Matching Capabilities Matter. - Daniel Chin, Gus Xia:
Language Model Mapping in Multimodal Music Learning: A Grand Challenge Proposal. - Deepti Rawat, Keshav Gupta, Aryamaan Basu Roy, Ravi Kiran Sarvadevabhatla:
DashCop: Automated E-ticket Generation for Two-Wheeler Traffic Violations Using Dashcam Videos. - Jingyi Yang, Xun Lin, Zitong Yu, Liepiao Zhang, Xin Liu, Hui Li, Xiaochen Yuan, Xiaochun Cao:
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing. - Marati Bhaskar, Raghavendra Kanakagiri:
Performance-Driven Optimization of Parallel Breadth-First Search. - Chiao Hsieh, Masaki Waga, Kohei Suenaga:
Certifying Lyapunov Stability of Black-Box Nonlinear Systems via Counterexample Guided Synthesis (Extended Version). - Emmanouela Kokolaki, Paraskevi Fragopoulou:
Unveiling AI's Threats to Child Protection: Regulatory efforts to Criminalize AI-Generated CSAM and Emerging Children's Rights Violations. - Andreas Evangelatos, Giorgos Filandrianos, Maria Lymperaiou, Athanasios Voulodimos, Giorgos Stamou:
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering. - Maria Lymperaiou, Giorgos Filandrianos, Angeliki Dimitriou, Athanasios Voulodimos, Giorgos Stamou:
HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning. - Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu:
Split Adaptation for Pre-trained Vision Transformers. - Earnest Paul Ijjina, Aniruddha Srinivas Joshi, Goutham Kanahasabai:
Detection of Customer Interested Garments in Surveillance Video using Computer Vision. - Maddalena Bressler, Veronica Mangiaterra, Paolo Canal, Federico Frau, Fabrizio Luciani, Biagio Scalingi, Chiara Barattieri di San Pietro, Chiara Battaglini, Chiara Pompei, Fortunata Romeo, Luca Bischetti, Valentina Bambini:
Figurative Archive: an open dataset and web-based application for the study of metaphor. - Minjeong Ryu, Jae Seung Woo, Yeonwoo Kim, Woo Young Choi:
Single-Ferroelectric Memcapacitor-Based Time-Domain Content-Addressable Memory for Highly Precise Distance Function Computation. - Yanyue Zhang, Yulan He, Deyu Zhou:
Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. - Joshua Talks, Anna Kreshuk:
Ranking pre-trained segmentation models for zero-shot transferability. - Earnest Paul Ijjina, Aniruddha Srinivas Joshi, Goutham Kanahasabai, Keerthi Priyanka P:
Customer Analytics using Surveillance Video. - Earnest Paul Ijjina, Goutham Kanahasabai, Aniruddha Srinivas Joshi:
Deep Learning based approach to detect Customer Age, Gender and Expression in Surveillance Video. - Yujia Xiao, Lei He, Haohan Guo, Fenglong Xie, Tan Lee:
PodAgent: A Comprehensive Framework for Podcast Generation. - Thomas Rimbot, Martin Jaggi, Luis Barba:
Using Machine Learning for move sequence visualization and generation in climbing. - Zhantong Zhu, Hongou Li, Wenjie Ren, Meng Wu, Le Ye, Ru Huang, Tianyu Jia:
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs. - David Snee, Luca Ciucci, Arne Rubehn, Kellen Parker van Dam, Johann-Mattis List:
Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists. - Giuseppe Stracquadanio, Federico Vasile, Elisa Maiettini, Nicoló Boccardo, Lorenzo Natale:
Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping. - Xueyang Wang, Zhixin Zheng, Jiandong Shao, Yule Duan, Liang-Jian Deng:
Adaptive Rectangular Convolution for Remote Sensing Pansharpening. - Junqi He, Yujie Zhang, Jialu Wang, Tao Wang, Pan Zhang, Chengjie Cai, Jinxing Yang, Xiao Lin, Xiaohui Yang:
Rapid morphology characterization of two-dimensional TMDs and lateral heterostructures based on deep learning. - Yicong Dong, Rundong He, Guangyao Chen, Wentao Zhang, Zhongyi Han, Jieming Shi, Yilong Yin:
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition. - Ruiqi He, Zihan Wang, Xiang Zhou:
TSDW: A Tri-Stream Dynamic Weight Network for Cloth-Changing Person Re-Identification. - Andy Gray, Alma Rahat, Tom Crick, Stephen Lindsay:
Bayesian Active Learning for Multi-Criteria Comparative Judgement in Educational Assessment. - Andreas Christou, Daniel F. N. Gordon, Theodoros Stouraitis, Juan C. Moreno, Sethu Vijayakumar:
Model-based optimisation for the personalisation of robot-assisted gait training. - Felix Dobslaw, Robert Feldt, Juyeon Yoon, Shin Yoo:
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy. - Zhikang Ge, Fang Yang, Wenwu Lu, Peng Wei, Yibin Ying, Chen Peng:
A Navigation System for ROV's inspection on Fish Net Cage. - Christoph Treude, Raula Gaikovina Kula:
Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering. - Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang:
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. - Benedetta Muscato, Praveen Bushipaka, Gizem Gezici, Lucia C. Passaro, Fosca Giannotti, Tommaso Cucinotta:
Embracing Diversity: A Multi-Perspective Approach with Soft Labels. - Heming Xia, Cunxiao Du, Yongqi Li, Qian Liu, Wenjie Li:
Tutorial Proposal: Speculative Decoding for Efficient LLM Inference. - Xuanchen Li, Jianyu Wang, Yuhao Cheng, Yikun Zeng, Xingyu Ren, Wenhan Zhu, Weiming Zhao, Yichao Yan:
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture. - Guangtong Xu, Tianyue Wu, Zihan Wang, Qianhao Wang, Fei Gao:
Flying on Point Clouds with Reinforcement Learning. - Francesco Capuano, Davorin Peceli, Gabriele Tiboni:
Shaping Laser Pulses with Reinforcement Learning. - Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu:
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions. - Shiyu Fang, Jiaqi Liu, ChengKai Xu, Chen Lv, Peng Hang, Jian Sun:
Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions. - Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang:
Projection Head is Secretly an Information Bottleneck. - Dehao Huang, Wenlong Dong, Chao Tang, Hong Zhang:
HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models. - Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Anastasiia Soboleva:
Functional multi-armed bandit and the best function identification problems. - Hanxun Yu, Wentong Li, Song Wang, Junbo Chen, Jianke Zhu:
Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning. - Hung Hon Cheng, Josie Hughes:
CAFEs: Cable-driven Collaborative Floating End-Effectors for Agriculture Applications. - Songlin Dong, Yuhang He, Zhengdong Zhou, Haoyu Luo, Xing Wei, Alex C. Kot, Yihong Gong:
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning. - Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu:
Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. - Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan:
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. - JunYao Kaung, Hong-Wei Ge:
2DMCG:2DMambawith Change Flow Guidance for Change Detection in Remote Sensing. - Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
Periodic Materials Generation using Text-Guided Joint Diffusion Model. - Denis Blessing, Xiaogang Jia, Gerhard Neumann:
End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler. - Guanwen Xie, Jingzehua Xu, Yimian Ding, Zhi Zhang, Shuai Zhang, Yi Li:
Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions. - Zirun Guo, Shulei Wang, Wang Lin, Weicai Yan, Yangyang Wu, Tao Jin:
Efficient Prompting for Continual Adaptation to Missing Modalities. - Lihan Lian, Uduak Inyang-Udoh:
Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints. - Runyi Li, Xuanyu Zhang, Chuhan Tong, Zhipei Xu, Jian Zhang:
GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model. - Haofei Lu, Zhe Wu, Junliang Xing, Jianshu Li, Ruoyu Li, Zhe Li, Yuanchun Shi:
BodyGen: Advancing Towards Efficient Embodiment Co-Design. - Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li:
What Makes a Good Diffusion Planner for Decision Making? - Junjie Sheng, Jiehao Wu, Haochuan Cui, Yiqiu Hu, Wenli Zhou, Lei Zhu, Qian Peng, Wenhao Li, Xiangfeng Wang:
Scalable Reinforcement Learning for Virtual Machine Scheduling. - Debmalya Mandal, Paulius Sasnauskas, Goran Radanovic:
Distributionally Robust Reinforcement Learning with Human Feedback. - Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, Tao Zhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang:
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval. - Yujie Lei, Wenjie Sun, Sen Jia, Qingquan Li, Jie Zhang:
RFWNet: A Lightweight Remote Sensing Object Detector Integrating Multi-Scale Receptive Fields and Foreground Focus Mechanism. - Hao Li, Yifei Sun, Bo Liu, Linbin Wang:
Vehicle Top Tag Assisted Vehicle-Road Cooperative Localization For Autonomous Public Buses. - Lukas Fesser, Melanie Weber:
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing. - Yanjun Li, Zhaoyang Li, Honghui Chen, Lizhi Xu:
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing. - Zhixin Zhang, Wenzhi Bai, Liang Zhao, Pawel Ladosz:
PL-VIWO: A Lightweight and Robust Point-Line Monocular Visual Inertial Wheel Odometry. - Yuchang Liu, Wei Guo, Yan Jiang, Mengping Zhang:
Structure-preserving nodal DG method for the Euler equations with gravity: well-balanced, entropy stable, and positivity preserving. - Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Yichang Xu, Ling Liu:
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable. - Simone Rebegoldi, Luca Rondi:
A counterexample to convergence for multiscale decompositions. - Ramit Debnath, Taran Chandel, Fengyuan Han, Ronita Bardhan:
Heatwave increases nighttime light intensity in hyperdense cities of the Global South: A double machine learning study. - Eric Heim, Oren Wright, David Shriver:
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice. - Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo:
ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models. - Kyle Gao, Dening Lu, Liangzhi Li, Nan Chen, Hongjie He, Linlin Xu, Jonathan Li:
Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires. - Evgeny S. Skvortsov, Yilin Xia, Bertram Ludäscher, Shawn Bowers:
Logica-TGD: Transforming Graph Databases Logically. - Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization. - Jiancheng Zhao, Xingda Yu, Yuxiang Zhang, Zhen Yang:
LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning. - Qinghua Guan, Hung Hon Cheng, Josie Hughes:
Dexterous Three-Finger Gripper based on Offset Trimmed Helicoids (OTHs). - Adrian Buganza Tepole, Asghar A. Jadoon, Manuel K. Rausch, Jan Niklas Fuhg:
Polyconvex Physics-Augmented Neural Network Constitutive Models in Principal Stretches. - Gerard Gómez-Izquierdo, Javier Laplaza, Alberto Sanfeliu, Anaís Garrell:
Enhancing Context-Aware Human Motion Prediction for Efficient Robot Handovers. - Prakhar Gupta, Jonathon M. Smereka, Yunyi Jia:
Actor-Critic Cooperative Compensation to Model Predictive Control for Off-Road Autonomous Vehicles Under Unknown Dynamics. - Tugrul Hasan Karabulut, Inci M. Baytas:
Channel-Attentive Graph Neural Networks. - Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen:
Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery. - Erfan Hosseini, Shuangyi Chen, Ashish Khisti:
Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption. - Jingtao Tang, Zining Mao, Lufan Yang, Hang Ma:
Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning. - Jiaju Chen, Minglong Tang, Yuxuan Lu, Bingsheng Yao, Elissa Fan, Xiaojuan Ma, Ying Xu, Dakuo Wang, Yuling Sun, Liang He:
Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives. - Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar:
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models. - Nicky Kriplani, Minh Pham, Gowthami Somepalli, Chinmay Hegde, Niv Cohen:
SolidMark: Evaluating Image Memorization in Generative Models. - José Manuel Muñoz, Odin Morón-García, José Ignacio Hidalgo, Omar Costilla-Reyes:
Estimation of total body fat using symbolic regression and evolutionary algorithms. - Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen:
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge. - Jayanth Mohan, Jishnu Ray Chowdhury, Tomás Malík, Cornelia Caragea:
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Models. - Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, Ahmet Erdem Sariyüce:
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends. - Alexander W. Lee, Justin Chan, Michael Fu, Nicolas Kim, Akshay Mehta, Deepti Raghavan, Ugur Çetintemel:
Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems. - Feng Guo, Luis D. Couto, Khiem Trad, Grietus Mulder, Keivan Haghverdi, Guillaume Thenaisie:
Optimizing Parameter Estimation for Electrochemical Battery Model: A Comparative Analysis of Operating Profiles on Computational Efficiency and Accuracy. - Yuezhi Yang, Qimin Chen, Vladimir G. Kim, Siddhartha Chaudhuri, Qixing Huang, Zhiqin Chen:
GenVDM: Generating Vector Displacement Maps From a Single Image. - Jihao Huang, Jun Zeng, Xuemin Chi, Koushil Sreenath, Zhitao Liu, Hongye Su:
Dynamic Collision Avoidance Using Velocity Obstacle-Based Control Barrier Functions. - Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib:
ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition. - Ciro Beneduce, Bruno Lepri, Massimiliano Luca:
Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach. - Robert Johansson:
Modeling Arbitrarily Applicable Relational Responding with the Non-Axiomatic Reasoning System: A Machine Psychology Approach. - Thomas Cohn, Russ Tedrake:
Sampling-Based Motion Planning with Discrete Configuration-Space Symmetries. - Muhammad Adil, Mian Ahmad Jan, Safayat Bin Hakim, Houbing Herbert Song, Zhanpeng Jin:
xIDS-EnsembleGuard: An Explainable Ensemble Learning-based Intrusion Detection System. - Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang:
Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. - Faye Zhang, Jasmine Wan, Qianyu Cheng, Jinfeng Rao:
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery. - Lucas Almeida:
Safety-Critical Control for Robotic Manipulators using Collision Cone Control Barrier Functions. - Zaifu Zhan, Shuang Zhou, Huixue Zhou, Jiawen Deng, Yu Hou, Jeremy Yeung, Rui Zhang:
An evaluation of DeepSeek Models in Biomedical Natural Language Processing. - Wei Zhou, Hadi Amirpour, Christian Timmerer, Guangtao Zhai, Patrick Le Callet, Alan C. Bovik:
Perceptual Visual Quality Assessment: Principles, Methods, and Future Directions. - Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang:
Dissecting the Impact of Model Misspecification in Data-driven Optimization. - Iyas AlTalafha, Yaprak Yalcin, Gülcihan Özdemir:
Learning Automata of PLCs in Production Lines Using LSTM. - Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica:
Policy Design in Long-Run Welfare Dynamics. - Guillaume Bal, Anjali Nair:
Splitting algorithms for paraxial and Itô-Schrödinger models of wave propagation in random media. - Yifei He, Yang Liu, Chen Liang, Hany Hassan Awadalla:
Efficiently Editing Mixture-of-Experts Models with Compressed Experts. - Ali Tafazoli Yazdi, Peter Nejjar, Lena Hochrein:
POSERS: Steganography-Driven Molecular Tagging Using Randomized DNA Sequences. - Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang:
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. - Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele:
How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations. - Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir K. Biswas:
Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement. - Yante Li, Hanwen Qi, Haoyu Chen, Xinlian Liang, Guoying Zhao:
Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection. - Zeeshan Memon, Ling Chen, Ruochen Kong, Vishwanath Seshagiri, Andreas Züfle, Liang Zhao:
Deep Identification of Propagation Trees. - Zongyuan Shen, Burhanuddin Shirose, Prasanna Sriganesh, Matthew Travers:
CAP: A Connectivity-Aware Hierarchical Coverage Path Planning Algorithm for Unknown Environments using Coverage Guidance Graph. - Ali Shirali, Ariel D. Procaccia, Rediet Abebe:
The Hidden Cost of Waiting for Accurate Predictions. - Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen:
Discrete Codebook World Models for Continuous Control. - Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son:
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. - Namo Asavisanu, Tina Khezresmaeilzadeh, Rohan Sequeira, Hang Qiu, Fawad Ahmad, Konstantinos Psounis, Ramesh Govindan:
CATS: A framework for Cooperative Autonomy Trust & Security. - Renato Andrade, César Teixeira, Nuno Laranjeiro, Marco Vieira:
An Empirical Study on the Classification of Bug Reports with Machine Learning. - Amrita Ganguly, Aditya Johri, Areej Ali, Nora McDonald:
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States. - Chisako Hayashi, Shinichiro Mori, Yasukuni Mori, Lim Taehyeung, Hiroki Suyari, Hitoshi Ishikawa:
Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy. - Ki Hwan Oh, Leonardo Borgioli, Milos Zefran, Valentina Valle, Pier Cristoforo Giulianotti:
Autonomous Dissection in Robotic Cholecystectomy. - Yousuf Islam, Sumon Chandra Das, Md. Jalal Uddin Chowdhury:
The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective. - Gargi V. Pillai, Ashish Verma, Debashis Sen:
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos. - Haiko Müller, Arash Rafiey:
Interval H-graphs : Recognition and forbidden obstructions. - Pouya Fathollahzadeh, Mariam El Mezouar, Hao Li, Ying Zou, Ahmed E. Hassan:
Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations. - Yan Wang, Lingfei Qian, Xueqing Peng, Jimin Huang, Dongji Feng:
OrdRankBen: A Novel Ranking Benchmark for Ordinal Relevance in NLP. - Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon:
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. - Rishikesh Joshi, Junaed Sattar:
One-Shot Gesture Recognition for Underwater Diver-To-Robot Communication. - Zhiqi Kang, Liyuan Wang, Xingxing Zhang, Karteek Alahari:
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning. - Si Thu, Ahmet Baki Kocaballi:
From Prompting to Partnering: Personalization Features for Human-LLM Interactions. - Maria Ana Cardei, Afsaneh Doryab:
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging. - Leming Shen, Qiang Yang, Xinyu Huang, Zijing Ma, Yuanqing Zheng:
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development. - Laziz U. Abdullaev, Tan M. Nguyen:
Transformer Meets Twicing: Harnessing Unattended Residual Information. - Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu:
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. - Wandong Sun, Baoshi Cao, Long Chen, Yongbo Su, Yang Liu, Zongwu Xie, Hong Liu:
Learning Perceptive Humanoid Locomotion over Challenging Terrain. - Hao Ding, Xu Lian, Mathias Unberath:
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition. - Yiyang Lin, Danling Jiang, Xinyu Liu, Yun Miao, Yixuan Yuan:
CREATE-FFPE: Cross-Resolution Compensated and Multi-Frequency Enhanced FS-to-FFPE Stain Transfer for Intraoperative IHC Images. - Zhen Wei Yeon:
Deep Univariate Polynomial and Conformal Approximation. - Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee:
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo. - Hongxu Huang, Ruike Lyu, Cheng Feng, Haiwang Zhong, Hoay Beng Gooi, Bo Li, Rui Liang:
Learning for Feasible Region on Coal Mine Virtual Power Plants with Imperfect Information. - Zhiqi Bu, Ruixuan Liu:
Towards hyperparameter-free optimization with differential privacy. - Jaeyoung Lim, David Rohr, Thomas Stastny, Roland Siegwart:
Safe Periodic Trochoidal Paths for Fixed-Wing UAVs in Confined Windy Environments. - Daniel Ma, Ren Zhong, Weisong Shi:
ICanC: Improving Camera-based Object Detection and Energy Consumption in Low-Illumination Environments. - Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis:
Proteina: Scaling Flow-based Protein Structure Generative Models. - Zhijiang Wan, Qianhao Yu, Jia Mao, Wenfeng Duan, Cheng Ding:
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records. - Chandra Chekuri, Rhea Jain, Sepideh Mahabadi, Ali Vakilian:
Streaming Algorithms for Network Design. - Yinqian Sun, Feifei Zhao, Mingyang Lv, Yi Zeng:
Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning. - Haoyu Li, Srikanth Kandula, Maria Angels de Luis Balaguer, Aditya Akella, Venkat Arun:
Speculative Ad-hoc Querying. - Yuhan Liu, Aadit Shah, Jordan Ackerman, Manaswi Saha:
Exploring the Design Space of Real-time LLM Knowledge Support Systems: A Case Study of Jargon Explanations. - Seungbae Seo, Junghwan Kim, Minjeong Shin, Bongwon Suh:
LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding. - Xiaogang Cheng, Ren Guo:
Enhanced Security of Public Key Encryption with Certified Deletion. - Jiahui Li, Geng Sun, Qingqing Wu, Shuang Liang, Jiacheng Wang, Dusit Niyato, Dong In Kim:
Aerial Secure Collaborative Communications under Eavesdropper Collusion in Low-altitude Economy: A Generative Swarm Intelligent Approach. - Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
Re-Imagining Multimodal Instruction Tuning: A Representation View. - Tianyi Huang, Jingyuan Yi, Peiyang Yu, Xiaochuan Xu:
Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies. - Changlin Song, Jiaqi Wang, Liyun Zhu, He Weng:
Enhancing Monocular 3D Scene Completion with Diffusion Model. - Maijunxian Wang:
From Understanding the World to Intervening in It: A Unified Multi-Scale Framework for Embodied Cognition. - Mingcong Lei, Ge Wang, Yiming Zhao, Zhixin Mai, Qing Zhao, Yao Guo, Zhen Li, Shuguang Cui, Yatong Han, Jinke Ren:
CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments. - Yang Ding, Can Han, Sijia Du, Yaqi Wang, Dahong Qian:
LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy Images. - Toby Simonds, Akira Yoshiyama:
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition. - Wenhui Lei, Anqi Li, Yusheng Tan, Hanyu Chen, Xiaofan Zhang:
Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology. - Jinjiang You, Hewei Wang, Yijie Li, Mingxiao Huo, Long Van Tran Ha, Mingyuan Ma, Jinfeng Xu, Puzhen Wu, Shubham Garg, Wei Pu:
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration. - Yuki Yuminaga, Dex Chen, Danning Sui:
Execution Welfare Across Solver-based DEXes. - Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cairong Zhao:
FaceShot: Bring Any Character into Life. - Geeta N. Brijwani, Prafulla E. Ajmire, Mohammad Atique Mohammad Junaid, Suhashini Awadhesh Charasia, Deepali Bhende:
Revolutionizing Healthcare Record Management: Secure Documentation Storage and Access through Advanced Blockchain Solutions. - Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang:
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models. - Anyang Ji, Qingbo Kang, Wei Xu, Changfan Wang, Kang Li, Qicheng Lao:
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. - Liao Shen, Tianqi Liu, Huiqiang Sun, Jiaqi Li, Zhiguo Cao, Wei Li, Chen Change Loy:
DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting. - Fei Teng, Buyin Deng, Boyuan Zheng, Kai Luo, Kunyu Peng, Jiaming Zhang, Kailun Yang:
Unifying Light Field Perception with Field of Parallax. - Zihao Luo, Zijun Gao, Wenjun Liao, Shichuan Zhang, Guotai Wang, Xiangde Luo:
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model. - Xingbo Fu, Yinhan He, Jundong Li:
Edge Prompt Tuning for Graph Neural Networks. - Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen:
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. - Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu:
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems. - Anas Jnini, Lorenzo Breschi, Flavio Vella:
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks. - Liang Lyu, James Siderius, Hannah Li, Daron Acemoglu, Daniel P. Huttenlocher, Asuman E. Ozdaglar:
Wikipedia Contributions in the Wake of ChatGPT. - Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Pranay Thangeda, William E. Schafer, Jae Hyuk Song, Karan Jagdale, Leonardo Bobadilla, Melkior Ornik:
TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models. - Fangming Shi, Jinzhen Liu, Xiangqian Meng, Yapeng Zhou, Hui Xiong:
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks. - Zhe Wang, Jiayi Zhang, Hao Lei, Dusit Niyato, Bo Ai:
Optimal Bilinear Equalizer Beamforming Design for Cell-Free Massive MIMO Networks with Arbitrary Channel Estimators. - Suraj Kumar, Sudheendra R, Aditya R, Bharat Kumar G. V. P, Ravi Kumar L:
Enhanced A* Algorithm for Mobile Robot Path Planning with Non-Holonomic Constraints. - Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy:
LLMs are everywhere: Ubiquitous Utilization of AI Models through Air Computing. - Jiaming Guo, Dunhui Xiao:
Nonlinear Model Reduction by Probabilistic Manifold Decomposition. - Bolin Li, Peiyuan Cai, Gewei Zuo, Lijun Zhu, Han Ding:
Disturbance Estimation of Legged Robots: Predefined Convergence via Dynamic Gains. - Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao:
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. - Marion Lepert, Ria Doshi, Jeannette Bohg:
Shadow: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer. - Yingbo Tang, Shuaike Zhang, Xiaoshuai Hao, Pengwei Wang, Jianlong Wu, Zhongyuan Wang, Shanghang Zhang:
AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter. - Marion Lepert, Jiaying Fang, Jeannette Bohg:
Phantom: Training Robots Without Robots Using Only Human Videos. - Astitva Kamble, Vani Bandodkar, Saakshi Dharmadhikary, Veena Anand, Pradyut Kumar Sanki, Mei X. Wu, Biswabandhu Jana:
Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model. - Umar Ali Khan, Ekram Khan, Fiza Khan, Athar Ali Moinuddin:
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks. - Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen:
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. - Elahe Delavari, Aws Khalil, Jaerock Kwon:
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving. - Kai Lv, Honglin Guo, Qipeng Guo, Xipeng Qiu:
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting. - Junxiao Lin, Shuhang Ji, Yuze Wu, Tianyue Wu, Zhichao Han, Fei Gao:
FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations. - Wei Liu, Tao Zhang, Chenhui Lin, Kaiwen Li, Rui Wang:
Graph Attention Networks Unleashed: A Fast and Explainable Vulnerability Assessment Framework for Microgrids. - Michal Ajdarów, James C. A. Main, Petr Novotný, Mickael Randour:
Taming Infinity one Chunk at a Time: Concisely Represented Strategies in One-Counter MDPs. - Kazuhiro Miyama, Kento Kawaharazuka, Kei Okada, Masayuki Inaba:
Development of a Five-Fingerd Biomimetic Soft Robotic Hand by 3D Printing the Skin and Skeleton as One Unit. - Juho Lee, Donghyun Yoon, Gumoon Jeong, Hyeoncheol Kim:
Acoustic Anomaly Detection on UAM Propeller Defect with Acoustic dataset for Crack of drone Propeller (ADCP). - Daeun Choi, Kihoon Son, Hyunjoon Jung, Juho Kim:
Expandora: Broadening Design Exploration with Text-to-Image Model. - Ukcheol Shin, Kyunghyun Lee, Jean Oh:
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning. - Longbin Zhang, Tsung-Lin Wu, Ananda Sidarta, Xiaoyue Yan, Prayook Jatesiktat, Kailun Yang, Wei Tech Ang:
Detecting Heel Strike and toe off Events Using Kinematic Methods and LSTM Models. - Yiran Cheng, Hong Jin Kang, Lwin Khin Shar, Chaopeng Dong, Zhiqiang Shi, Shichao Lv, Limin Sun:
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead. - Zhe Wang, Xulei Yang:
An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions. - Le Zheng, Jiajie Zheng, Lei Chen, Chongru Liu:
Extended Impedance Modal Analysis of Internal Dynamics in Grid-Following Inverters. - Jayden Teoh, Pradeep Varakantham, Peter Vamplew:
On Generalization Across Environments In Multi-Objective Reinforcement Learning. - Zikuan Li, Honghua Chen, Yuecheng Wang, Sibo Wu, Mingqiang Wei, Jun Wang:
STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds. - Jia-Xuan Jiang, Wenhui Lei, Yifeng Wu, Hongtao Wu, Furong Li, Yining Xie, Xiaofan Zhang, Zhong Wang:
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models. - Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric Jensfelt:
HiMo: High-Speed Objects Motion Compensation in Point Clouds. - Xulin Chen, Junzhou Huang:
DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics. - Xiangyu Xu, Zhi Zheng, Jin Wang, Yikai Chen, Jingyang Huang, Ruixin Wu, Huan Yu, Guodong Lu:
T3: Multi-modal Tailless Triple-Flapping-Wing Robot for Efficient Aerial and Terrestrial Locomotion. - Yuezhi Yang, Haitao Yang, Kiyohiro Nakayama, Xiangru Huang, Leonidas J. Guibas, Qixing Huang:
GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations. - Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He:
Predictive Data Selection: The Data That Predicts Is the Data That Teaches. - Yeonseok Lee, Koji Nakazawa:
Incorrectness Separation Logic with Arrays and Pointer Arithmetic. - Harin Lee, Min-hwan Oh:
Minimax Optimal Reinforcement Learning with Quasi-Optimism. - Lu Ma, Kaibo Cao, Hao Liang, Jiaxin Lin, Zhuang Li, Yuhong Liu, Jihong Zhang, Wentao Zhang, Bin Cui:
Evaluating and Predicting Distorted Human Body Parts for Generated Images. - Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou:
Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation. - Qianli Liu, Zhaorui Zhang, Xin Yao, Benben Liu:
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning. - Min Wang, Haisheng Li, Haoxuan Zhang, Xiaoqun Wu, Nan Li:
PINN-MG: A physics-informed neural network for mesh generation. - Gal Yefet, Ayellet Tal:
Random Walks in Self-supervised Learning for Triangular Meshes. - Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. - Ruijing Zhao, Brian Diep, Jiaxin Pei, Dongwook Yoon, David Jurgens, Jian Zhu:
Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming. - Simone Rebegoldi, Luca Rondi:
On the optimality of convergence conditions for multiscale decompositions in imaging and inverse problems. - Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He:
Training-Free Dataset Pruning for Instance Segmentation. - Damien de Mijolla, Hannan Saddiq, Kim Moore:
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation. - Manusha Karunathilaka, Shaolun Ruan, Lin-Ping Yuan, Jiannan Li, Zhiding Liang, Kavinda Athapaththu, Qiang Guan, Yong Wang:
Intuit: Explain Quantum Computing Concepts via AR-based Analogy. - Jeffrey Gu, Serena Yeung-Levy:
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models. - Jiaxin Shen, Jinan Xu, Huiqi Hu, Luyi Lin, Fei Zheng, Guoyang Ma, Fandong Meng, Jie Zhou, Wenjuan Han:
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences. - Daye Kim, Sebin Lee, Yoonseo Jun, Yujin Shin, Jungjin Lee:
VTuber's Atelier: The Design Space, Challenges, and Opportunities for VTubing. - Yuki Hanawa, Tomohiro Harada, Yukiya Miura:
Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms. - Miao Peng, Nuo Chen, Zongrui Suo, Jia Li:
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners. - Moritz Altemeyer, Steffen Eger, Johannes Daxenberger, Tim Altendorf, Philipp Cimiano, Benjamin Schiller:
Argument Summarization and its Evaluation in the Era of Large Language Models. - Bocheng Li, Wenjun Zhang, Bing Zhang, Yiling Yao, Yaning Wang:
PSRGS:Progressive Spectral Residual of 3D Gaussian for High-Frequency Recovery. - Sidharth Agarwal, Tanishq Dubey, Shubham Gupta, Srikanta Bedathur:
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings. - Rui Yi Yong, Samuel Picosson, Arnold Wiliem:
MTReD: 3D Reconstruction Dataset for Fly-over Videos of Maritime Domain. - Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong, Frank Hopfgartner:
FACROC: a fairness measure for FAir Clustering through ROC curves. - Yoonsu Kim, Brandon Chin, Kihoon Son, Seoyoung Kim, Juho Kim:
Applying the Gricean Maxims to a Human-LLM Interaction Cycle: Design Insights from a Participatory Approach. - Qia Hu, Bo Jiao:
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction. - Taewoong Kang, Sohyun Jeong, Hyojin Jang, Jaegul Choo:
Zero-Shot Head Swapping in Real-World Scenarios. - Jinyu Miao, Tuopu Wen, Ziang Luo, Kangan Qian, Zheng Fu, Yunlong Wang, Kun Jiang, Mengmeng Yang, Jin Huang, Zhihua Zhong, Diange Yang:
Efficient End-to-end Visual Localization for Autonomous Driving with Decoupled BEV Neural Matching. - Muhammad Talha Sharif, Abdul Rehman:
Systematic Literature Review on Clinical Trial Eligibility Matching. - Yiran Zhao, Chaoqun Liu, Yue Deng, Jiahao Ying, Mahani Aljunied, Zhaodonghui Li, Lidong Bing, Hou Pong Chan, Yu Rong, Deli Zhao, Wenxuan Zhang:
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers. - Petros Stylianos Giouroukis, Alexios Gidiotis, Grigorios Tsoumakas:
DUAL: Diversity and Uncertainty Active Learning for Text Summarization. - Zhiwei Zhao, Alan Zhao, Minchen Li, Yixin Hu:
Vid2Fluid: 3D Dynamic Fluid Assets from Single-View Videos with Generative Gaussian Splatting. - Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo:
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains. - Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai:
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems. - Zijian Dong, Yilei Wu, Chongyao Chen, Yingtian Zou, Yichi Zhang, Juan Helen Zhou:
Improve Representation for Imbalanced Regression through Geometric Constraints. - Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu:
Patch-wise Structural Loss for Time Series Forecasting. - You Shen, Zhipeng Zhang, Xinyang Li, Yansong Qu, Yu Lin, Shengchuan Zhang, Liujuan Cao:
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization. - Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu:
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model. - Haris Aziz, Yuhang Guo, Venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki:
Social Welfare Maximization in Approval-Based Committee Voting under Uncertainty. - Youjia Wang, Ruixiang Cao, Teng Xu, Yifei Liu, Dong Zhang, Yiwen Wu, Jingyi Yu:
DreamPrinting: Volumetric Printing Primitives for High-Fidelity 3D Printing. - Theodore Curran, Chengqian Ma, Xin Liu, Daniel McDuff, Girish Narayanswamy, George Stergiou, Shwetak N. Patel, Eugene Yang:
Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease. - Federico Costanza, Lachlan Simpson:
Riemannian Integrated Gradients: A Geometric View of Explainable AI. - Murali Mani, Jie Shen, Tejaswi Manchineella, Ira Woodring, Jing Bai, Robert Benard, E. Shirl Donaldson:
We Need to Effectively Integrate Computing Skills Across Discipline Curricula. - Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla:
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. - Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C. Knoll:
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar. - Jing Peng, Meiqi Yang, Qiong Zhang, Xiaoxiao Li:
S4M: S4 for multivariate time series forecasting with Missing values. - Qijie Wei, Kaiheng Qian, Xirong Li:
FunBench: Benchmarking Fundus Reading Skills of MLLMs. - Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan:
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction. - Zhu Liu, Zijun Wang, Jinyuan Liu, Fanqi Meng, Long Ma, Risheng Liu:
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging. - Ajinkya Kulkarni, Atharva Kulkarni, Miguel Couceiro, Isabel Trancoso:
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems. - Zhuohang Jiang, Pangjing Wu, Ziran Liang, Peter Q. Chen, Xu Yuan, Ye Jia, Jiancheng Tu, Chen Li, Peter H. F. Ng, Qing Li:
HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning. - Xitong Ling, Yifeng Ping, Jiawen Li, Jing Peng, Yuxuan Chen, Minxi Ouyang, Yizhi Wang, Yonghong He, Tian Guan, Xiaoping Liu, Lianghui Zhu:
Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. - Ali Ebrahimpour Boroojeny, Hari Sundaram, Varun Chandrasekaran:
AMUN: Adversarial Machine UNlearning. - Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu:
HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion. - Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma:
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. - Pu Li, Wenhao Zhang, Jianwei Guo, Jinglu Chen, Dong-Ming Yan:
Revisiting CAD Model Generation by Learning Raster Sketch. - Xueping Gong, Jiheng Zhang:
Parameter-Adaptive Dynamic Pricing. - Padmanaba Srinivasan, William Knottenbelt:
Behavior Preference Regression for Offline Reinforcement Learning. - Andy Trung Huynh, Benjamin Zwick, Michael Halle, Adam Wittek, Karol Miller:
Personalizing the meshed SPL/NAC Brain Atlas for patient-specific scientific computing using SynthMorph. - Qing Wan, Shilong Deng, Xun Wang:
Improving the Transferability of Adversarial Attacks by an Input Transpose. - Meng Li, Nan Wang, Ruofan Zhao, Chunjie Zhou:
A sharp-interface approach for simulating solid-state dewetting of thin films with double-bubble structure. - Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang:
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis. - Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu:
Learning-Augmented Frequent Directions. - Chao Yuan, Guiwei Zhang, Changxiao Ma, Tianyi Zhang, Guanglin Niu:
From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization. - Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg:
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions. - Zexiong Wei, Yao Sun, Xiaochao Hou, Mei Su:
A Fully Self-Synchronized Control for Hybrid Series-Parallel Electronized Power Networks. - Fitash Ul Haq, Jordi Cabot:
B-OCL: An Object Constraint Language Interpreter in Python. - Sitong Li, Stefano Padilla, Pierre Le Bras, Junyu Dong, Mike Chantler:
A Review of LLM-Assisted Ideation. - Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng:
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think. - Jacek Pomykala, Mariusz Jurkiewicz:
Decomposition of RSA modulus applying even order elliptic curves. - Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long:
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models. - Jinhong Wang, Jintai Chen, Jian Liu, Dongqi Tang, Danny Z. Chen, Jian Wu:
A Survey on Ordinal Regression: Applications, Advances and Prospects. - Nam V. Nguyen, Dien X. Tran, Thanh T. Tran, Anh T. Hoang, Tai V. Duong, Di T. Le, Phuc-Lu Le:
SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking. - Chang Liu, Haolin Wu, Xi Yang, Kui Zhang, Cong Wu, Weiming Zhang, Nenghai Yu, Tianwei Zhang, Qing Guo, Jie Zhang:
Exploiting Vulnerabilities in Speech Translation Systems through Targeted Adversarial Attacks. - Milad Alshomary, Nikhil Reddy Varimalla, Vishal Anand, Kathleen McKeown:
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers. - Aleksi Saarela:
Mapping words to powers by morphisms. - Md Abrar Jahin, Shahriar Soudeep, Muhammad Firoz Mridha, Raihan Kabir, Md. Rashedul Islam, Yutaka Watanobe:
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection. - Minh H. Vu, Lorenzo Tronchin, Tufve Nyholm, Tommy Löfstedt:
Using Synthetic Images to Augment Small Medical Image Datasets. - Maryam Mohammadi, Alvise Sommariva, Marco Vianello:
Unisolvence of randomized MultiQuadric Kansa collocation for convection-diffusion with mixed boundary conditions. - Minju Yoo, Hyoungwook Jin, Juho Kim:
How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges. - Xiaohan Li, Sebastian W. Pattinson:
An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing. - Wanwen Chen, Carson Studders, Jamie J. Y. Kwon, Emily H. T. Pang, Eitan Prisman, Septimiu E. Salcudean:
Semantic-ICP: Iterative Closest Point for Non-rigid Multi-Organ Point Cloud Registration. - Masudul Hassan Quraishi, Michael Riera, Fengbo Ren, Aman Arora, Aviral Shrivastava:
SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs. - Guanlue Li, Chenran Jiang, Ziqi Gao, Yu Liu, Chenyang Liu, Jiean Chen, Yong Huang, Jia Li:
Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model. - Ángel Niebla-Montero, Iván Froiz-Míguez, Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Design, Implementation and Practical Evaluation of an Opportunistic Communications Protocol Based on Bluetooth Mesh and libp2p. - Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant Nair, Poulami Das:
Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs. - Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang:
Machine Learning for Health symposium 2024 - Findings track. - Bashar Alhafni, Nizar Habash:
Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study. - Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang:
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. - Guosheng Fu, Michael Neunteufel, Joachim Schöberl, Adam Zdunek:
A four-field mixed formulation for incompressible finite elasticity. - José Luiz Nunes, Guilherme F. C. F. Almeida, Brian Flanagan:
Evidence of conceptual mastery in the application of rules by Large Language Models. - Slawomir Dadas, Malgorzata Grebowiec, Michal Perelkiewicz, Rafal Poswiata:
Evaluating Polish linguistic and cultural competency in large language models. - Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Federated Conversational Recommender System. - Karlo Lukic, Lazaros Papadopoulos:
Privacy vs. Profit: The Impact of Google's Manifest Version 3 (MV3) Update on Ad Blocker Effectiveness. - Allen Lin, Renqin Cai, Yun He, Hanchao Yu, Jing Qian, Rui Li, Qifan Wang, James Caverlee:
Towards An Efficient LLM Training Paradigm for CTR Prediction. - Dhairya Dalal, Sharmi Dev Gupta, Bentolhoda Binaei:
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval. - Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann:
Underdamped Diffusion Bridges with Applications to Sampling. - Afagh Mehri Shervedani, Matthew R. Walter, Milos Zefran:
From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs. - Jinzhao Li, Nan Jiang, Yexiang Xue:
An Exact Solver for Satisfiability Modulo Counting with Probabilistic Circuits. - Zhifang Du, Aleksey Sikstel:
Coupled general Riemann problems for the Euler equations. - Yi Li, Florian Fischer, Tim Dwyer, Barrett Ens, Robert George Crowther, Per Ola Kristensson, Benjamin Tag:
AlphaPIG: The Nicest Way to Prolong Interactive Gestures in Extended Reality. - Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen:
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. - Xiang Li, Per Ola Kristensson:
Optimizing Curve-Based Selection with On-Body Surfaces in Virtual Environments. - Purvi Goel, Haotian Zhang, C. Karen Liu, Kayvon Fatahalian:
Generative Motion Infilling From Imprecisely Timed Keyframes. - Yuhang Zhang, Zhiyao Zhang, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Derek Gloudemans, Gergely Zachár, Clay Weston, Gautam Biswas, Daniel B. Work:
Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System. - Ziyang Zhang, Yang Yu, Yucheng Chen, Xulei Yang, Si Yong Yeo:
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations. - Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge:
Delving into Out-of-Distribution Detection with Medical Vision-Language Models. - Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz:
Improving inference time in multi-TPU systems with profiled model segmentation. - Chandra Kant Jat, Francesco Giacomo Puricelli, Jef Beerten, Hakan Ergun, Dirk Van Hertem:
Unified Power Flow Model for Bipolar HVDC Grids in Unbalanced Operation. - Yu Hou, Hal Daumé III, Rachel Rudinger:
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups. - Shi-Shun Chen:
Can We Find the Code? An Empirical Study of Google Scholar's Code Retrieval. - Yu Xie, Yueqi Xie:
Variance reduction in output from generative AI. - Silas Alberti, Kenan Hasanaliyev, Manav Shah, Stefano Ermon:
Data Unlearning in Diffusion Models. - Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz:
Balanced segmentation of CNNs for multi-TPU inference. - Elham Ghelichkhan, Tolga Tasdizen:
A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data. - Rey Ortiz, Sharif Ahmed, Priscilla Salas, Nasir U. Eisty:
Analyzing Social Media Engagement of Computer Science Conferences. - Björn Herrmann:
Language-agnostic, automated assessment of listeners' speech recall using large language models. - Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala:
Personalize Your LLM: Fake it then Align it. - Daniel Baker, Sean Phillips:
Spacecraft Autonomy Levels. - Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu:
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. - Allen Paul, Neill D. F. Campbell, Tony Shardlow:
Sparse Randomized Approximation of Normal Cycles. - Zhuo Chen, Ni Ou, Xuyang Zhang, Zhiyuan Wu, Yongqiang Zhao, Yupeng Wang, Nathan F. Lepora, Lorenzo Jamone, Jiankang Deng, Shan Luo:
General Force Sensation for Tactile Robot. - Jacob Beck:
SFO: Piloting VLM Feedback for Offline RL. - David Noever:
AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding. - Florian Dreyer, Ekaterina Kolos, Daria Matiash:
Scientific Reasoning: Assessment of Multimodal Generative LLMs. - Yuyang Huang, Yuhan Liu, Haryadi S. Gunawi, Beibin Li, Changho Hwang:
Alchemist: Towards the Design of Efficient Online Continual Learning System. - Gokul Swamy, Sanjiban Choudhury, Wen Sun, Zhiwei Steven Wu, J. Andrew Bagnell:
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. - Advaith Balaji, Saket Pradhan, Dmitry Berenson:
Language-Guided Object Search in Agricultural Environments. - Kareem Eissa, Rayal Prasad, Sarith Mohan, Ankur Kapoor, Dorin Comaniciu, Vivek K. Singh:
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization. - Jingyu Song, Haoyu Ma, Onur Bagoren, Advaith Venkatramanan Sethuraman, Yiting Zhang, Katherine A. Skinner:
OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework. - Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu:
Active Learning for Direct Preference Optimization. - Uksang Yoo, Jonathan Francis, Jean Oh, Jeffrey Ichnowski:
KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands. - Asela Hevapathige, Ahad N. Zehmakan, Qing Wang:
Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature. - Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai:
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media. - Mykola Kozlenko, Volodymyr Sendetskyi, Oleksiy Simkiv, Nazar Savchenko, Andy Bosyi:
Identity documents recognition and detection using semantic segmentation with convolutional neural network. - Yingyan Zeng, Ismini Lourentzou, Xinwei Deng, Ran Jin:
FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet. - Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin:
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. - Nazmul Islam, Mohammad Zulkernine:
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction. - Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang:
Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. - Wanjun Jia, Fan Yang, Mengfei Duan, Xianchi Chen, Yinxi Wang, Yiming Jiang, Wenrui Chen, Kailun Yang, Zhiyong Li:
One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes. - Arpan Pallar, Guanrui Li, Mrunal Sarvaiya, Giuseppe Loianno:
Optimal Trajectory Planning for Cooperative Manipulation with Multiple Quadrotors Using Control Barrier Functions. - Hyeon Jeon, Michaël Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo:
Measuring the Validity of Clustering Validation Datasets. - Zaoyu Chen, Haoran Qin, Nuo Chen, Xiangyu Zhao, Lei Xue, Xiapu Luo, Xiao-Ming Wu:
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair. - Hanzhe Liang, Jie Zhou, Xuanxin Chen, Tao Dai, Jinbao Wang, Can Gao:
Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection. - Jonathan Lane, Nak-seung Patrick Hyun:
Graph-Based Dynamics and Network Control of a Single Articulated Robotic System. - Harshita Mhaske, Aniket Mandhare, Jidong Huang, Yu Bai:
Ground contact and reaction force sensing for linear policy control of quadruped robot. - Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. - Juil Koo, Paul Guerrero, Chun-Hao Paul Huang, Duygu Ceylan, Minhyuk Sung:
VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors. - Yansong Xu, Junlin Li, Wei Zhang, Siyu Chen, Shengyong Zhang, Yuquan Leng, Weijia Zhou:
FGS-SLAM: Fourier-based Gaussian Splatting for Real-time SLAM with Sparse and Dense Map Fusion. - Ning Xia, Xiaolei Zhao, Yimin Yang, Yixuan Li, Yucong Li:
Exploration on Real World Assets and Tokenization. - Hui Liu, Chen Jia, Fan Shi, Xu Cheng, Shengyong Chen:
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures. - Junsong Zhang, Chunyu Lin, Zhijie Shen, Lang Nie, Kang Liao, Yao Zhao:
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations. - Zhipeng Huang, Shaobin Zhuang, Canmiao Fu, Binxin Yang, Ying Zhang, Chong Sun, Zhizheng Zhang, Yali Wang, Chen Li, Zheng-Jun Zha:
WeGen: A Unified Model for Interactive Multimodal Generation as We Chat. - Run Zheng, Nung-Sing Sze, Zejun Huang:
The dimension and Bose distance of certain primitive BCH codes. - Nguyen Gia Hien Vu, Yifan Tang, Rey Lim, G. Gary Wang:
Hybrid Metaheuristic Vehicle Routing Problem for Security Dispatch Operations. - Shizhan Liu, Hao Zheng, Hang Yu, Jianguo Li:
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization. - Shreyas S, Akshath M:
ViKANformer: Embedding Kolmogorov Arnold Networks in Vision Transformers for Pattern-Based Learning. - Zikang Yin, Canlun Zheng, Shiliang Guo, Zhikun Wang, Shiyu Zhao:
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning. - Zahra Zanjani Foumani, Ramin Bostanabad:
Constrained multi-fidelity Bayesian optimization with automatic stop condition. - Mingao Tan, Shanze Wang, Biao Huang, Zhibo Yang, Rongfei Chen, Xiaoyu Shen, Wei Zhang:
Beyond Visibility Limits: A DRL-Based Navigation Strategy for Unexpected Obstacles. - Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu:
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. - Runmao Yao, Yi Du, Zhuoqun Chen, Haoze Zheng, Chen Wang:
AirRoom: Objects Matter in Room Reidentification. - Shivam Ratnakar, Abhiroop Talasila, Raghav Chamadiya, Nikhil Agarwal, Vinayak K. Doifode:
Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs. - Yuheng Zhang, Nan Jiang:
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs. - Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan:
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. - Shikai Guo, Xiaoyu Wang, Xiaochen Li, Zhihao Xu, He Jiang:
A Novel Interactive-Guided Differential Testing Approach for FPGA Simulation Debugger Tools. - Junyi Li, Yongqiang Chen, Chenxi Liu, Qianyi Cai, Tongliang Liu, Bo Han, Kun Zhang, Hui Xiong:
Can Large Language Models Help Experimental Design for Causal Discovery? - Jonathan Geuter, Clément Bonet, Anna Korba, David Alvarez-Melis:
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows. - Ayeong Lee, Ethan Che, Tianyi Peng:
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach. - Teng Pang, Bingzheng Wang, Guoqiang Wu, Yilong Yin:
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning. - Zhenqi Dai, Ting Liu, Xingxing Zhang, Yunchao Wei, Yan-Ning Zhang:
One-shot In-context Part Segmentation. - Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti:
CoInD: Enabling Logical Compositions in Diffusion Models. - Shanze Wang, Mingao Tan, Zhibo Yang, Xianghui Wang, Xiaoyu Shen, Hailong Huang, Wei Zhang:
Enhancing Deep Reinforcement Learning-based Robot Navigation Generalization through Scenario Augmentation. - Slobodan Mitrovic, Wen-Horng Sheu:
A framework for boosting matching approximation: parallel, distributed, and dynamic. - Chen Zhang, Mingxu Tao, Zhiyuan Liao, Yansong Feng:
MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages. - Feng Wang, Zesheng Shi, Bo Wang, Nan Wang, Han Xiao:
ReaderLM-v2: Small Language Model for HTML to Markdown and JSON. - Shilin Tong, Difei Wu, Xiaona Liu, Le Zheng, Yuchuan Du, Difan Zou:
STGAN: Spatial-temporal Graph Autoregression Network for Pavement Distress Deterioration Prediction. - Callie Y. Kim, Arissa J. Sato, Nathan Thomas White, Hui-Ru Ho, Christine P. Lee, Yuna Hwang, Bilge Mutlu:
Bridging Generations using AI-Supported Co-Creative Activities. - Yiqun Zhang, Peng Ye, Xiaocui Yang, Shi Feng, Shufei Zhang, Lei Bai, Wanli Ouyang, Shuyue Hu:
Nature-Inspired Population-Based Evolution of Large Language Models. - Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li:
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting. - Suzhen Wang, Weijie Chen, Wei Zhang, Minda Zhao, Lincheng Li, Rongsheng Zhang, Zhipeng Hu, Xin Yu:
EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting. - Hajar Sakai, Sarah S. Lam:
Large Language Models for Healthcare Text Classification: A Systematic Review. - Wenda Chu, Yang Song, Yisong Yue:
Split Gibbs Discrete Diffusion Posterior Sampling. - Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna:
CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. - Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa:
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. - Yitao Zhu, Yuan Yin, Jiaming Li, Mengjie Xu, Zihao Zhao, Honglin Xiong, Sheng Wang, Qian Wang:
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis. - Haoxin Li, Boyang Li:
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data. - Seyed Mohamad Ali Tousi, Ramy Farag, Jacket Demby's, Gbenga Omotara, John A. Lory, Guilherme N. DeSouza:
A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
Velocity-Aware Statistical Analysis of Peak AoI for Ground and Aerial Users. - Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe:
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics. - Hongye Cheng, Tianyu Wang, Guangsi Shi, Zexing Zhao, Yanwei Fu:
HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation. - Kart-Leong Lim, Rahul Dutta:
Prognostics and Health Management of Wafer Chemical-Mechanical Polishing System using Autoencoder. - M. Mahmudul Hasan Sajeeb, Navid Anjum Aadit, Tong Wu, Cesely Smith, Dhruv Chinmay, Atharva Raut, Kerem Yunus Çamsari, Corentin Delacour