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ORCIDCoRR, September 2024
- Kimji N. Pellano, Inga Strümke, Daniel Groos, Lars Adde, Espen Alexander Fürst Ihlen:
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy. - Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi:
Spatio-Temporal Communication Compression for Distributed Prime-Dual Optimization. - Samia Abid, Bhupesh Kumar Mishra, Dhavalkumar Thakker, Nishikant Mishra:
Enhancing Trustworthiness and Minimising Bias Issues in Leveraging Social Media Data for Disaster Management Response. - Shilong Fan, Zhenyu Liu, Xinyu Gu, Haozhen Li:
Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training. - John Oyekan, Liam Quantrill, Christopher Turner, Ashutosh Tiwari:
Applying Deep Neural Networks to automate visual verification of manual bracket installations in aerospace. - Jacob-Junqi Tian, Hao Yu, Yury Orlovskiy, Tyler Vergho, Mauricio Rivera, Mayank Goel, Zachary Yang, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine:
Web Retrieval Agents for Evidence-Based Misinformation Detection. - Jay Kumar:
Evolving Text Data Stream Mining. - Chanhyuk Park, Jungbin Cho, Junwan Kim, Seongmin Lee, Jungsu Kim, Sanghoon Lee:
AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning. - Hua Yu, Yaqing Hou, Wenbin Pei, Qiang Zhang:
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction. - Georgios Bakirtzis, Andrea Aler Tubella, Andreas Theodorou, David Danks, Ufuk Topcu:
Navigating the sociotechnical labyrinth: Dynamic certification for responsible embodied AI. - Yuhang Yang, Xiaoli Xu, Yong Zeng, Haijian Sun, Rose Qingyang Hu:
Channel Knowledge Map for Cellular-Connected UAV via Binary Bayesian Filtering. - Jingting Li, Shaoyuan Lu, Yan Wang, Zizhao Dong, Su-Jing Wang, Xiaolan Fu:
Could Micro-Expressions be Quantified? Electromyography Gives Affirmative Evidence. - Shubham Desai, Sai Sidhardh:
Analysis of nonlocal smart beams following fractional-order constitutive relations. - Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias K. D. Weber:
A Novel Fusion of Optical and Radar Satellite Data for Crop Phenology Estimation using Machine Learning and Cloud Computing. - Nicholas Soures, Peter Helfer, Anurag Reddy Daram, Tej Pandit, Dhireesha Kudithipudi:
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks. - Zhe Fu, Kanlun Wang, Wangjiaxuan Xin, Lina Zhou, Shi Chen, Yaorong Ge, Daniel Janies, Dongsong Zhang:
Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach. - Yonas Mitike Kassa:
Online Advertising is a Regrettable Necessity: On the Dangers of Pay-Walling the Web. - Yujie Wang, Baoquan Chen, Praneeth Chakravarthula:
Pupil-Adaptive 3D Holography Beyond Coherent Depth-of-Field. - Jiawei Lian, Shaohui Mei, Xiaofei Wang, Yi Wang, Lefan Wang, Yingjie Lu, Mingyang Ma, Lap-Pui Chau:
Attack Anything: Blind DNNs via Universal Background Adversarial Attack. - Zicheng Zhang, Yingjie Zhou, Chunyi Li, Baixuan Zhao, Xiaohong Liu
, Guangtao Zhai:
Quality Assessment in the Era of Large Models: A Survey. - Rajiv Teja Nagipogu, John H. Reif:
NeuralCRNs: A Natural Implementation of Learning in Chemical Reaction Networks. - Yuhao Pan, Xiucheng Wang, Zhiyao Xu, Nan Cheng, Wenchao Xu, Junjie Zhang:
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network. - Daniel E. Hurtado, Axel Osses, Rodrigo Quezada:
Methods based on Radon transform for non-affine deformable image registration of noisy images. - Malik Abdul Sami, Muhammad Waseem, Zheying Zhang, Zeeshan Rasheed, Kari Systä, Pekka Abrahamsson:
AI based Multiagent Approach for Requirements Elicitation and Analysis. - Supat Roongpraiwan, Zongdian Li, Tao Yu, Kei Sakaguchi:
Digital Twin-Empowered Routing Management for Reliable Multi-Hop Millimeter Wave V2X. - Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart G. van Bloemen Waanders, Christopher R. Johnson:
Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields. - Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, Christopher R. Johnson:
Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods. - Dayena Jeong, Jaewoo Park, Jeonghee Jo, Jongkil Park, Jaewook Kim, Hyun Jae Jang, Suyoun Lee, Seongsik Park:
A More Accurate Approximation of Activation Function with Few Spikes Neurons. - Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. - Aven Le Zhou:
Inflation of Interactivity? Analyzing and Understanding Embodied Interaction in Interactive Art through a New Three-dimensional Model. - Christopher Klugmann, Rafid Mahmood, Guruprasad Hegde, Amit Kale, Daniel Kondermann:
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data. - Max Langtry, Chaoqun Zhuang, Rebecca Ward, Nikolas Makasis, Monika J. Kreitmair, Zack Xuereb Conti, Domenic Di Francesco, Ruchi Choudhary:
Rationalising data collection for building energy systems using Value of Information Analysis. - Yanye Luther, Marcia Moraes, Sudipto Ghosh, James Folkestad:
OnDiscuss: An Epistemic Network Analysis Learning Analytics Visualization Tool for Evaluating Asynchronous Online Discussions. - Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Heng Ji, Jinjun Xiong:
Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Prompting. - Yang Cao:
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models. - Benjamin Staugaard, Simon Soele Madsen, Zheng Ma, Salman Yussof, Bo Nørregaard Jørgensen:
Leveraging Internet of Things Network Metadata for Cost-Effective Automatic Smart Building Visualization. - Cheng Zhao, Bin Wang, Zhen Wang:
Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetry. - Arief Purnama Muharram, Ayu Purwarianti:
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language. - Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser:
Urban Mobility Assessment Using LLMs. - Nimrod Dvir:
Phrasing for UX: Enhancing Information Engagement through Computational Linguistics and Creative Analytics. - F. Asdrubali, Andrea Fronzetti Colladon, Ludovica Segneri, D. M. Gandola:
LCA and energy efficiency in buildings: mapping more than twenty years of research. - Eddie Conti:
An alternative formulation of attention pooling function in translation. - Sujay Nagesh Koujalgi, Andrew Anderson, Iyadunni J. Adenuga, Shikha Soneji, Rupika Dikkala, Teresita Guzman Nader, Leo Soccio, Sourav Panda, Rupak Kumar Das, Margaret Burnett, Jonathan Dodge:
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems. - Florian Mai, Nathan Cornille, Marie-Francine Moens:
Learning to Plan Long-Term for Language Modeling. - Linda Zeng:
Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation. - Mirgita Frasheri, Arian Bakhtiarnia, Lukas Esterle, Alexandros Iosifidis:
Are LLM-based methods good enough for detecting unfair terms of service? - Xianlong Zeng:
Enhancing the Interpretability of SHAP Values Using Large Language Models. - Shrabani Ghosh:
Examining Different Research Communities: Authorship Network. - Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana:
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering. - Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush:
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models. - Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
Genetic Approach to Mitigate Hallucination in Generative IR. - Tao Ni, Zehua Sun, Mingda Han, Guohao Lan, Yaxiong Xie, Zhenjiang Li, Tao Gu, Weitao Xu:
Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting. - Jiajun Xu, Zhiyuan Li, Wei Chen, Qun Wang, Xin Gao, Qi Cai, Ziyuan Ling:
On-Device Language Models: A Comprehensive Review. - Yuqing Liang, Jiancheng Xiao, Wensheng Gan, Philip S. Yu:
Watermarking Techniques for Large Language Models: A Survey. - Muhammad Anwar, Mischa de Costa, Issam Hammad, Daniel Lau:
Evaluating ChatGPT on Nuclear Domain-Specific Data. - Mishca de Costa, Muhammad Anwar, Daniel Lau, Issam Hammad:
Classification of Safety Events at Nuclear Sites using Large Language Models. - Runtao Ren, Jian Ma:
PatentGPT: A Large Language Model for Patent Drafting Using Knowledge-based Fine-tuning Method. - Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel, Thomas Jacquot:
Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem. - Juncheng Xie, Shensian Syu, Hung-yi Lee:
Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data. - Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang:
Large Language Models for Disease Diagnosis: A Scoping Review. - Yanbo Wang, Wenyu Chen, Shimin Shan:
How to Train Text Summarization Model with Weak Supervisions. - Zhenyu Wang, Shuyu Kong, Li Wan, Biqiao Zhang, Yiteng Huang, Mumin Jin, Ming Sun, Xin Lei, Zhaojun Yang:
Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning. - Shaobo Cui, Junyou Li, Luca Mouchel, Yiyang Feng, Boi Faltings:
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning. - Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain:
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation. - Aishik Nagar, Shantanu Jaiswal, Cheston Tan:
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. - Jun He, Andrew L. Liu:
Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach. - Daniil Filienko, Yinzhou Wang, Caroline El Jazmi, Serena Jinchen Xie, Trevor Cohen, Martine De Cock, Weichao Yuwen:
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy. - Gracjan Góral, Emilia Wisnios:
When All Options Are Wrong: Evaluating Large Language Model Robustness with Incorrect Multiple-Choice Options. - Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. - Baohao Liao, Christof Monz:
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability. - Jangyeong Jeon, Sangyeon Cho, Minuk Ma, Junyoung Kim:
ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings. - Amin Rezaeizadeh, Silvia Mastellone:
Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines. - Cong Zhang, Shuyi Du, Hongqing Song, Yuhe Wang:
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge. - Phillip Si, Peng Chen:
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data. - Ziyan Cui, Ning Li, Huaikang Zhou:
Can AI Replace Human Subjects? A Large-Scale Replication of Psychological Experiments with LLMs. - Sotaro Ishii, Tetsuro Tanaka:
Estimating the number of reachable positions in Minishogi. - Ding Kai, Ma Zhenguo, Yan Xiaoran:
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems. - Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. - Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik:
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. - Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu:
HoneyComb: A Flexible LLM-Based Agent System for Materials Science. - Tom Gibbs, Ethan Kosak-Hine, George Ingebretsen, Jason Zhang, Julius Broomfield, Sara Pieri, Reihaneh Iranmanesh, Reihaneh Rabbany, Kellin Pelrine:
Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks. - Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang:
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action. - Gerardo Altamirano-Gómez, Carlos Gershenson:
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks. - Oscar Brown, Zhengjie Wang, Andrea Do, Nikhil Mathew, Cheng Yu:
Dynamic Depth Decoding: Faster Speculative Decoding for LLMs. - Guoyang Xu, Junqi Xue, Yuxin Liu, Zirui Wang, Min Zhang, Zhenxi Song, Zhiguo Zhang:
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning. - Zhengru Fang, Senkang Hu, Jingjing Wang, Yiqin Deng, Xianhao Chen, Yuguang Fang:
Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics. - Shuai Peng, Di Fu, Liangcai Gao, Xiuqin Zhong, Hongguang Fu, Zhi Tang:
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models. - Siling Feng, Zhisheng Qi, Cong Lin:
From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning. - Grigor Kirakosyan, Davit Karamyan:
Speaker Tagging Correction With Non-Autoregressive Language Models. - Ahmed M. Salih:
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine. - Jihyun Mun, Sunhee Kim, Minhwa Chung:
Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum Disorder. - Erwan Le Merrer, Gilles Trédan:
LLMs hallucinate graphs too: a structural perspective. - Jiasheng Shi, Fu Lin, Weixiong Rao:
Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems. - Jiayi Zhou, Jiaming Ji, Juntao Dai, Yaodong Yang:
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback. - Yuhan Zheng, Jessie A Elliott, John V. Reynolds, Sheraz R. Markar, Bartlomiej W. Papiez, ENSURE study group:
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery. - Antoine Neuraz, Ghislain Vaillant, Camila Arias, Olivier Birot, Kim Tâm Huynh, Thibaut Fabacher, Alice Rogier, Nicolas Garcelon, Ivan Lerner, Bastien Rance, Adrien Coulet:
Facilitating phenotyping from clinical texts: the medkit library. - Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. - Thakshila Thilakanayake, Oscar De Silva, Thumeera R. Wanasinghe, George K. I. Mann, Awantha Jayasiri:
A Generative Adversarial Network-based Method for LiDAR-Assisted Radar Image Enhancement. - Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad:
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis. - Antonio Laverghetta Jr., Simone Luchini, Averie Linnell, Roni Reiter-Palmon, Roger E. Beaty:
The creative psychometric item generator: a framework for item generation and validation using large language models. - Pat Pataranutaporn, Chayapatr Archiwaranguprok, Phoomparin Mano, Piyaporn Bhongse-Tong, Pattie Maes, Pichet Klunchun:
Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation. - Sha Lu, Xuecheng Xu, Yuxuan Wu, Haojian Lu, Xieyuanli Chen, Rong Xiong, Yue Wang:
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning. - Carolyn M. V. Pethrick, Siva Nadarajah:
Fully-Discretely Nonlinearly-Stable Flux Reconstruction Methods for Compressible Flows. - Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad:
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. - Linda Hirsch, Florian Müller, Mari Kruse, Andreas Butz, Robin Welsch:
Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR. - Tongyue Sun, Jiayi Xiao:
Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs. - Yifei Simon Shao, Tianyu Li, Shafagh Keyvanian, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa:
Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation. - Christian Arnold, Andreas Küpfer:
Structuring Quantitative Image Analysis with Object Prominence. - Ada Defne Tur, Adel Moumen, Mirco Ravanelli:
ProGRes: Prompted Generative Rescoring on ASR n-Best. - Abu Ubaida Akash, Ahmed Fahmy, Amine Trabelsi:
Can Large Language Models Address Open-Target Stance Detection? - Yilin Zhuang, Sibo Cheng, Karthik Duraisamy:
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations. - Sheng Cheng, Zbigniew Starosolski, Devika Subramanian:
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models. - Ya-Ting Yang, Haozhe Lei, Quanyan Zhu:
Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks. - Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci:
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale. - Spencer Whitehead, Jacob Phillips, Sean Hendryx:
Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data. - Shuangquan Feng, Virginia R. de Sa:
One-Frame Calibration with Siamese Network in Facial Action Unit Recognition. - Ya-Ting Yang, Haozhe Lei, Quanyan Zhu:
PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations. - Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. - Bart M. P. Jansen, Yosuke Mizutani, Blair D. Sullivan, Ruben F. A. Verhaegh:
Preprocessing to Reduce the Search Space for Odd Cycle Transversal. - Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad:
Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments. - Yijian Fan, Zhenbang Yang, Rui Liu, Mingjie Li, Xiaojun Chang:
Medical Report Generation Is A Multi-label Classification Problem. - Will Orr, Kate Crawford:
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators. - Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada, Vivek Gupta, Dan Roth:
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. - Sachithra Atapattu, Oscar De Silva, Thumeera R. Wanasinghe, George K. I. Mann, Raymond G. Gosine:
Improving the Region of Attraction of a Multi-rotor UAV by Estimating Unknown Disturbances. - Xiaoyu Lin, Xinkai Yu, Ankit Aich, Salvatore Giorgi, Lyle H. Ungar:
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity. - Sudarshan Rajagopalan, Vishal M. Patel:
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning. - Nuno Sousa e Silva:
The Artificial Intelligence Act: critical overview. - Melkamu Mersha, Khang Nhut Lam, Joseph Wood, Ali AlShami, Jugal Kalita:
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction. - Charles Pillet, Ilshat Sagitov, Grégoire Domer, Pascal Giard:
Partitioned Successive-Cancellation List Flip Decoding of Polar Codes. - Tyler Malloy, Maria José Ferreira, Fei Fang, Cleotilde Gonzalez:
Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content. - Vihang Jumle, Mykola Makhortykh, Maryna Sydorova, Victoria Vziatysheva:
Finding frames with BERT: A transformer-based approach to generic news frame detection. - Patrycja Strycharczuk, Sam Kirkham, Emily Gorman, Takayuki Nagamine:
Towards a dynamical model of English vowels. Evidence from diphthongisation. - Jirí Milicka:
Simple stochastic processes behind Menzerath's Law. - Yingjie Ma, Jing Guo, Richard Braatz:
Quasi-Steady-State Approach for Efficient Multiscale Simulation and Optimization of mAb Glycosylation in CHO Culture. - Sebastiaan van den Eijnden, Thomas Chaffey:
Characterizing nonlinear systems with mixed input-output properties through dissipation inequalities. - Leonardo Ramos Thomas:
RealFace - Pedestrian Face Dataset. - Mohamad Rida Rammal, Ruida Zhou, Suhas N. Diggavi:
Reframing Data Value for Large Language Models Through the Lens of Plausability. - Zexin Chen, Chengxi Li, Xiangyu Xie, Parijat Dube:
OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters. - Zuoning Zhang, Dhruv Parikh, Youning Zhang, Viktor K. Prasanna:
Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine. - Songyan Zhao, Bingxuan Li, Yufei Tian, Nanyun Peng:
REFFLY: Melody-Constrained Lyrics Editing Model. - Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic:
Box2Flow: Instance-based Action Flow Graphs from Videos. - Geonho Hwang, Yeachan Park, Sejun Park:
On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic. - Shuhao Zeng, Hongliang Zhang, Boya Di, Zhu Han, H. Vincent Poor:
Dual-Polarized Reconfigurable Intelligent Surface-Based Antenna for Holographic MIMO Communications. - Ana Djurdjevac, Ann S. Almgren, John B. Bell:
A Hybrid Algorithm for Systems of Non-interacting Particles. - Shounak Sural, Naren, Ragunathan Rajkumar:
ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models. - Bohao Zhang, Ram Vasudevan:
Rapid and Robust Trajectory Optimization for Humanoids. - Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo:
StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models. - Denis Antipov, Benjamin Doerr:
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It. - Mikhail Borisenkov, Andrei Velichko, Maksim Belyaev, Dmitry G. Korzun, Tatyana Tserne, Larisa Bakutova, Denis Gubin:
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning. - Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa:
Training-Free Sketch-Guided Diffusion with Latent Optimization. - Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang:
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. - Xinyi Shen, Zuoquan Lin:
An Empirical Study on Context Length for Open-Domain Dialog Generation. - Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith:
Toward a More Complete OMR Solution. - Ziwei Sun, Zexi Hua, Heng-Chao Li, Zhi-Peng Qi, Xiang Li, Yan Li, Jin-Chi Zhang:
FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video. - Manuel de J. Luevano, Alejandro Puga:
Highly-sensitive measure of complexity captures boolean networks regimes and temporal order more optimally. - Girish Kumar, Thomas Strohmer, Roman Vershynin:
Differentially Private Synthetic High-dimensional Tabular Stream. - Unggi Lee, Jiyeong Bae, Yeonji Jung, Minji Kang, Gyuri Byun, Yeonseo Lee, Dohee Kim, Sookbun Lee, Jaekwon Park, Taekyung Ahn, Gunho Lee, Hyeoncheol Kim:
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education. - Conghao Zhou, Jie Gao, Yixiang Liu, Shisheng Hu, Nan Chen, Xuemin Shen:
User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach. - Ergon Cugler de Moraes Silva:
Anti-woke agenda, gender issues, revisionism and hate speech communities on Brazilian Telegram: from harmful reactionary speech to the crime of glorifying Nazism and Hitler. - Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao, Bing Luo:
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics. - Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland:
Foundations of Multivariate Distributional Reinforcement Learning. - Jiachen Guo, Chanwook Park, Xiaoyu Xie, Zhongsheng Sang, Gregory J. Wagner, Wing Kam Liu:
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. - Jun Li, Jinying Wu, Qiming Li, Feifei Guo:
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action Counting. - Oktie Hassanzadeh:
WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction. - Muhammad Waseem, Reza Bayani, Saeed D. Manshadi:
The Dilemma of Electricity Grid Expansion Planning in Areas at the Risk of Wildfire. - Yuhan Ji, Song Gao:
Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectories. - Xiaoyu Zhang, Wenchuan Yang, Jiawei Feng, Bitao Dai, Tianci Bu, Xin Lu:
GSpect: Spectral Filtering for Cross-Scale Graph Classification. - Makoto M. Itoh, Qingrui Hu, Takayuki Niizato, Hiroaki Kawashima, Keisuke Fujii:
Fish Tracking Challenge 2024: A Multi-Object Tracking Competition with Sweetfish Schooling Data. - Hossein Khalili, Seongbin Park, Vincent Li, Brandan Bright, Ali Payani, Ramana Rao Kompella, Nader Sehatbakhsh:
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models. - Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. - Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Bonan Liu, Handi Yin, Manuel Kaufmann, Jinhao He, Sammy Christen, Jie Song, Pan Hui:
EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System. - Kushal Kumar Jain, Ankith Varun J, Anoop Namboodiri:
PS-StyleGAN: Illustrative Portrait Sketching using Attention-Based Style Adaptation. - Fuchen Zheng, Xuhang Chen, Weihuang Liu, Haolun Li, Yingtie Lei, Jiahui He, Chi-Man Pun, Shoujun Zhou:
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation. - Paulo Soares, Sean McCurdy, Andrew J. Gerber, Peter Fonagy:
Chatting Up Attachment: Using LLMs to Predict Adult Bonds. - Hsiang-Wei Huang, Jiacheng Sun, Cheng-Yen Yang, Zhongyu Jiang, Li-Yu Huang, Jenq-Neng Hwang, Yu-Ching Yeh:
ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment. - Tapas Das, Florent Foucaud, Clara Marcille, Pavan P. D, Sagnik Sen:
Monitoring arc-geodetic sets of oriented graphs. - Hongseok Oh, Wonseok Hwang:
Does Alignment Tuning Really Break LLMs' Internal Confidence? - Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. - Nirmali Roy, Anuradha Jha:
A parameter uniform hybrid approach for singularly perturbed two-parameter parabolic problem with discontinuous data. - Dongil Yang, Suyeon Lee, Minjin Kim, Jungsoo Won, Namyoung Kim, Dongha Lee, Jinyoung Yeo:
YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion. - Weinan Dai, Yifeng Jiang, Yuanjing Liu, Jinkun Chen, Xin Sun, Jinglei Tao:
Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology. - Dipankar Srirag, Aditya Joshi, Jacob Eisenstein:
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models. - Carlos Medel-Ramírez, Hilario Medel-López:
Predicting Femicide in Veracruz: A Fuzzy Logic Approach with the Expanded MFM-FEM-VER-CP-2024 Model. - Mostafa Mansour, Ahmed Abdelsalam, Ari Happonen, Jari Porras, Esa Rahtu:
UDGS-SLAM : UniDepth Assisted Gaussian Splatting for Monocular SLAM. - Wanming Hao, Xue Wu, Xingwang Li, Gangcan Sun, Qingqing Wu, Liang Yang:
Resource Management for IRS-Assisted Full-Duplex Integrated Sensing, Communication and Computing Systems. - Costas Mylonas, Titos Georgoulakis, Magda Foti:
Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting. - (Withdrawn) An Empirical Study on Information Extraction using Large Language Models.
- Juan E. Tapia, Naser Damer, Christoph Busch, Juan M. Espín, Javier Barrachina, Alvaro S. Rocamora, Kristof Ocvirk, Leon Alessio, Borut Batagelj, Sushrut Patwardhan, Raghavendra Ramachandra, Raghavendra Mudgalgundurao, Kiran B. Raja, Daniel Schulz, Carlos Aravena:
First Competition on Presentation Attack Detection on ID Card. - Solveig Klepper:
Towards understanding Diffusion Models (on Graphs). - Tathagata Banerjee, Diganta Mukherjee:
Skill Dominance Analysis of Two(Four) player, Four(Five) dice Variant of the Ludo Game. - YuanZheng Wu, Jin Liu, Shunping Ji:
3D Gaussian Splatting for Large-scale Surface Reconstruction from Aerial Images. - Anish Kundu, Giulia Barbareschi, Midori Kawaguchi, Yuichiro Yano, Mizuki Ohashi, Kaori Kitaoka, Aya Seike, Kouta Minamizawa:
"I Wanted to Create my Ideal Self": Exploring Avatar Perception of LGBTQ+ Users for Therapy in Virtual Reality. - Qingbin Tian, Yukang Huo, Mingyuan Yao, Haihua Wang:
A method for detecting dead fish on large water surfaces based on improved YOLOv10. - Georgios Ioannides, Adrian Kieback, Aman Chadha, Aaron Elkins:
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders. - Joshua Hang Sai Ip, Georgios Makrygiorgos, Ali Mesbah:
Lyapunov Neural ODE Feedback Control Policies. - Yu-Fan Lin, Ching-Heng Cheng, Bo-Cheng Qiu, Cheng-Jun Kang, Chia-Ming Lee, Chih-Chung Hsu:
Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining. - Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot:
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation. - Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia:
Rethinking Backdoor Detection Evaluation for Language Models. - Qiang Zhang, Zhipeng Teng, Disheng Wu, Jiayin Wang:
An Enhanced Batch Query Architecture in Real-time Recommendation. - Yun Liu, Hao Zhao, Huazhen Yao, Zeng Hu, Yinming Cui, Dehuan Wan:
Generalized Orthogonal Chirp Division Multiplexing in Doubly Selective Channels. - Minjia Shi, Sihui Tao, Jihoon Hong, Jon-Lark Kim:
Expanding self-orthogonal codes over a ring Z4 to self-dual codes and unimodular lattices. - Wenhao Zhuang, Xinyu He, Yuyi Mao, Juan Liu:
UAV-Enabled Wireless Networks for Integrated Sensing and Learning-Oriented Communication. - Duygu Dogan, Huang Xie, Toni Heittola, Tuomas Virtanen:
Multi-label Zero-Shot Audio Classification with Temporal Attention. - Shangquan Sun, Wenqi Ren, Juxiang Zhou, Jianhou Gan, Rui Wang, Xiaochun Cao:
A Hybrid Transformer-Mamba Network for Single Image Deraining. - Vahid Garousi, Nithin Joy, Alper Bugra Keles:
AI-powered test automation tools: A systematic review and empirical evaluation. - Alan Boyle, Isha Gupta, Sebastian Hönig, Lukas Mautner, Kenza Amara, Furui Cheng, Mennatallah El-Assady:
iToT: An Interactive System for Customized Tree-of-Thought Generation. - Daniel Varab, Christian Hardmeier:
With Good MT There is No Need For End-to-End: A Case for Translate-then-Summarize Cross-lingual Summarization. - Ming Cai, Penggang Gao, Hisayuki Hara:
Learning linear acyclic causal model including Gaussian noise using ancestral relationships. - Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii:
Robust off-policy Reinforcement Learning via Soft Constrained Adversary. - Thijmen Nijdam, Juell Sprott, Taiki Papandreou-Lazos, Jurgen de Heus:
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations. - Wilhiam de Carvalho, Ahmad Attarha, Hemanshu R. Pota:
Optimization-Based Control of Distributed Battery Storage in Distribution Networks. - Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao:
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks. - Ogun Yurdakul, Erik Ela, Farhad Billimoria:
Flexible Ramping Product Procurement in Day-Ahead Markets. - Tianyang Chu, Hailong Guo, Zhimin Zhang:
New C0 interior penalty method for Monge-Ampère equations. - Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. - Daniel Garcia Rasines, Roi Naveiro, David Ríos Insua, Simón Rodríguez Santana:
Personalized Pricing Decisions Through Adversarial Risk Analysis. - Ignacio de Rodrigo, Alberto Sanchez-Cuadrado, Jaime Boal, Álvaro J. López-López:
The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts. - Jialiang Wang, Yan Xia, Ye Yuan:
PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System. - Longyun Liao, Rong Zheng:
ActionPose: Pretraining 3D Human Pose Estimation with the Dark Knowledge of Action. - Hanyang Wang, Hao Zhou, Sibo Cheng:
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint. - Wenjun Jiang, Xiaojun Yuan, Boyu Teng, Hao Wang, Jing Qian:
Interference-Cancellation-Based Channel Knowledge Map Construction and Its Applications to Channel Estimation. - Andrei Chis, Tudor Gîrba, Oscar Nierstrasz:
Moldable Exceptions. - S. M. Mahdi Shahabi, Xiaonan Deng, Ahmad Adnan Qidan, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Energy-efficient Functional Split in Non-terrestrial Open Radio Access Networks. - Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna:
Studying the Effects of Self-Attention on SAR Automatic Target Recognition. - Wenqiang Li, Haohuang Wen, Zhiqiang Lin:
BaseMirror: Automatic Reverse Engineering of Baseband Commands from Android's Radio Interface Layer. - Daniel Witschard, Ilir Jusufi, Andreas Kerren:
Simbanex: Similarity-based Exploration of IEEE VIS Publications. - Vikram Sudarshan, Warren D. Seider:
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes. - Shentong Mo, Haofan Wang:
Multi-scale Multi-instance Visual Sound Localization and Segmentation. - Bin Hu, Run Luo, Zelin Liu, Cheng Wang, Wenyu Liu:
TrackSSM: A General Motion Predictor by State-Space Model. - Yair Stolero, Itzik Klein:
Rapid Gyroscope Calibration: A Deep Learning Approach. - Chia-Yu Hsu, Wenwen Li, Sizhe Wang:
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability. - Vage Egiazarian, Denis Kuznedelev, Anton Voronov, Ruslan Svirschevski, Michael Goin, Daniil Pavlov, Dan Alistarh, Dmitry Baranchuk:
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization. - Haowen Xu, Jinghui Yuan, Anye Zhou, Guanhao Xu, Wan Li, Xuegang Ban, Xinyue Ye:
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems. - Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi:
TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. - Haonan Chang, Kowndinya Boyalakuntla, Yuhan Liu, Xinyu Zhang, Liam Schramm, Abdeslam Boularias:
DAP: Diffusion-based Affordance Prediction for Multi-modality Storage. - Haoze He, Daniel Kressner, Bor Plestenjak:
Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding. - Hendrik Bernd Zarucha, Peter Jung:
Non-negative Sparse Recovery at Minimal Sampling Rate. - Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. - Lemeng Zhao, Junjie Hu, Jianchao Bi, Yanbing Bai, Erick Mas, Shunichi Koshimura:
Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring. - William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot:
RevCD - Reversed Conditional Diffusion for Generalized Zero-Shot Learning. - Dushyantha A. Basnayaka:
Communicating in the Mediumband:What it is and Why it Matters. - Shivam Pande, Baki Uzun, Florent Guiotte, Thomas Corpetti, Florian Delerue, Sébastien Lefèvre:
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss. - Oscar Nierstrasz, Andrei Chis, Tudor Gîrba:
Example-driven development: bridging tests and documentation. - Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey:
Mapping earth mounds from space. - Alper Canberk, Maksym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick:
EraseDraw: Learning to Insert Objects by Erasing Them from Images. - Yuga Iguchi, Toshihiro Yamada:
An extended Milstein scheme for effective weak approximation of diffusions. - Angel Beshirov, Milena Dobreva, Dimitar Dimitrov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Post-OCR Text Correction for Bulgarian Historical Documents. - Sayan Rakshit, Hmrishav Bandyopadhyay, Nibaran Das, Biplab Banerjee:
Incremental Open-set Domain Adaptation. - Lars Lindemann, Yiqi Zhao, Xinyi Yu, George J. Pappas, Jyotirmoy V. Deshmukh:
Formal Verification and Control with Conformal Prediction. - Md. Rayid Hasan Mojumder, Naruttam Kumar Roy:
Review of meta-heuristic optimization algorithms to tune the PID controller parameters for automatic voltage regulator. - Sicheng Wang, Che Liu, Rossella Arcucci:
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? - Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno K. Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei:
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors. - Noah Apthorpe, Boen Beavers, Yan Shvartzshnaider, Brett Frischmann:
The Authentication Gap: Higher Education's Widespread Noncompliance with NIST Digital Identity Guidelines. - Fazle Rahat, M. Shifat Hossain, Md Rubel Ahmed, Sumit Kumar Jha, Rickard Ewetz:
Data Augmentation for Image Classification using Generative AI. - Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha:
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing. - Wenxuan Wang:
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness. - Gang Li, Qihang Lin, Ayush Ghosh, Tianbao Yang:
Multi-Output Distributional Fairness via Post-Processing. - Yuanwei Li, Elizaveta Ivanova, Martins Bruveris:
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model. - Wenxuan Wang, Juluan Shi, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Michael R. Lyu:
Learning to Ask: When LLMs Meet Unclear Instruction. - Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian:
Compositional 3D-aware Video Generation with LLM Director. - Tomer Ezra:
Prophet Inequality from Samples: Is the More the Merrier? - Emadeldeen Hamdan, Hongyi Pan, Ahmet Enis Çetin:
Sparse Mamba: Reinforcing Controllability In Structural State Space Models. - Yangfan Deng, Hamad Albidah, Ahmed H. Dallal, Jijun Yin, Zhi-Hong Mao:
Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging. - Mauricio Vargas Sepúlveda:
Welding R and C++: A Tale of Two Programming Languages. - Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Elias Bou-Harb, Peyman Najafirad:
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs. - Nitesh Kumar, Jaekyung Jackie Lee, Sivakumar Rathinam, Swaroop Darbha, P. B. Sujit, Rajiv Raman:
The Persistent Robot Charging Problem for Long-Duration Autonomy. - Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu:
Online Optimization for Learning to Communicate over Time-Correlated Channels. - Md. Monzurul Amin Ifath, Miguel C. Neves, Israat Haque:
Fast Prototyping of Distributed Stream Processing Applications with stream2gym. - Chenchao Wang, Deyuan Meng:
Learning and Control from Similarity Between Heterogeneous Systems: A Behavioral Approach. - Nathan Henry:
CRUD-Capable Mobile Apps with R and shinyMobile: a Case Study in Rapid Prototyping. - Jiantong Jiang, Ajmal Mian:
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification. - Sanuwani Dayarathna, Kh Tohidul Islam, Bohan Zhuang, Guang Yang, Jianfei Cai, Meng Law, Zhaolin Chen:
McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis. - Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang:
FLUX that Plays Music. - Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz:
Diffusion Policy Policy Optimization. - Biyuan Liu, Huaixin Chen, Huiyao Zhan, Sijie Luo, Zhou Huang:
Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background. - Shaorong Sun, Shuchao Pang, Yazhou Yao, Xiaoshui Huang:
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework. - Xujie Wan, Wenjie Li, Guangwei Gao, Huimin Lu, Jian Yang, Chia-Wen Lin:
Attention-Guided Multi-scale Interaction Network for Face Super-Resolution. - Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong, Shijun Zhang, Ge Wang, Tieyong Zeng:
Hyper-Compression: Model Compression via Hyperfunction. - Jiagang Chen, Liangliang Pan, Shunping Ji, Ji Zhao, Zichao Zhang:
Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving. - Seunghyeon Park, Joon Hyo Rhee:
CSAC Drift Modeling Considering GPS Signal Quality in the Case of GPS Signal Unavailability. - Fuqiang Niu, Zebang Cheng, Xianghua Fu, Xiaojiang Peng, Genan Dai, Yin Chen, Hu Huang, Bowen Zhang:
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model. - Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. - Xuefeng Liang, Zhenyou Liu, Jian Lin, Xiaohui Yang, Takatsune Kumada:
Uncertainty-oriented Order Learning for Facial Beauty Prediction. - Subhankar Sarkar, Souvik Chakraborty:
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid. - Xinhe Xu, Zhuoer Wang, Yihan Zhang, Yizhou Liu, Zhaoyue Wang, Zhihao Xu, Muhan Zhao, Huaiying Luo:
Style Transfer: From Stitching to Neural Networks. - Rajesh Kumar Jha, Shashi Bhushan Jha, Vijay Pandey, Radu F. Babiceanu:
Flight Delay Prediction using Hybrid Machine Learning Approach: A Case Study of Major Airlines in the United States. - Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami:
TinyAgent: Function Calling at the Edge. - Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu:
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. - Senthil Kumar Jagatheesaperumal, Praveen Sathikumar, Harikrishnan Rajan:
MetaDigiHuman: Haptic Interfaces for Digital Humans in Metaverse. - Junhyoung Ha, Chaewon Kim, Chunwoo Kim:
Incorporating General Contact Surfaces in the Kinematics of Tendon-Driven Rolling-Contact Joint Mechanisms. - Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. - Lipeng Gu, Mingqiang Wei, Xuefeng Yan, Dingkun Zhu, Wei Zhao, Haoran Xie, Yong-Jin Liu:
YOLOO: You Only Learn from Others Once. - Xiaoyu Zhang, Guangwei Liu, Zihao Liu, Ningyi Xu, Yunhui Liu, Ji Zhao:
Enhancing Vectorized Map Perception with Historical Rasterized Maps. - Francesco Ballarin, Traian Iliescu:
A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey. - Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi, Mohammad Farhadi, Yezhou Yang:
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks. - Xinyi Bai:
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violations. - Idris Abdulmumin, Sthembiso Mkhwanazi, Mahlatse S. Mbooi, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Neo Putini, Miehleketo Mathebula, Matimba Shingange, Tajuddeen Gwadabe, Vukosi Marivate:
Correcting FLORES Evaluation Dataset for Four African Languages. - Nemanja Stefan Perovic, Eduard E. Bahingayi, Le-Nam Tran:
Energy-Efficient Designs for SIM-Based Broadcast MIMO Systems. - Aayush Chaudhary:
Assessing the Impact of Upselling in Online Fantasy Sports. - Abhishek Kumar, Sonia Haiduc, Partha Pratim Das, Partha Pratim Chakrabarti:
LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization. - Dingyuan Zhang, Dingkang Liang, Zichang Tan, Xiaoqing Ye, Cheng Zhang, Jingdong Wang, Xiang Bai:
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression. - Vijaya Yajnanarayana, Philipp Geuer, Satyam Dwivedi:
Indoor Sensing with Measurements. - Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. - Gangwei Xu, Xianqi Wang, Zhaoxing Zhang, Junda Cheng, Chunyuan Liao, Xin Yang:
IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching. - Tanisha Singh, Shreshtha Jha, Nidhi Bhatt, Palak Handa, Nidhi Goel, Indu Sreedevi:
Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023). - Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu:
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors. - Masafumi Endo, Tatsunori Taniai, Genya Ishigami:
Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation. - Hao Jiang, Yuhai Wang, Hanyang Zhou, Daniel Seita:
Learning to Singulate Objects in Packed Environments using a Dexterous Hand. - Ting Wang, Ye Li, Rongjun Cheng, Guojian Zou, Takao Dantsuji, Dong Ngoduy:
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach. - Or Greenberg, Eran Kishon, Dani Lischinski:
Seed-to-Seed: Image Translation in Diffusion Seed Space. - Weijian Chen, Shuibing He, Haoyang Qu, Xuechen Zhang:
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration. - Xu-Hao Chen, Si-Peng Hu, Hong-Chao Liu, Boran Liu, Dan Tang, Di Zhao:
Research on LLM Acceleration Using the High-Performance RISC-V Processor "Xiangshan" (Nanhu Version) Based on the Open-Source Matrix Instruction Set Extension (Vector Dot Product). - Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke Monno, Masatoshi Okutomi:
Disparity Estimation Using a Quad-Pixel Sensor. - Alessandro Aldini, Agata Ciabattoni, Dominik Pichler, Mirko Tagliaferri:
Support + Belief = Decision Trust. - Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang:
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. - Meng Qin, Chaorui Zhang, Yu Gao, Yibin Ding, Weipeng Jiang, Weixi Zhang, Wei Han, Bo Bai:
Towards Faster Graph Partitioning via Pre-training and Inductive Inference. - Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi:
InvariantStock: Learning Invariant Features for Mastering the Shifting Market. - Xiaoxiang Sun, Geoffrey Fox:
Study of Dropout in PointPillars with 3D Object Detection. - Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman:
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo. - Hao Wen, Yueheng Zhu, Chao Liu, Xiaoxue Ren, Weiwei Du, Meng Yan:
Fixing Code Generation Errors for Large Language Models. - Kento Kawaharazuka, Manabu Nishiura, Yuya Koga, Yusuke Omura, Yasunori Toshimitsu, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba:
Automatic Grouping of Redundant Sensors and Actuators Using Functional and Spatial Connections: Application to Muscle Grouping for Musculoskeletal Humanoids. - Xin Su, Zhuoran Zheng:
Accurate Forgetting for All-in-One Image Restoration Model. - Zhixiang Shen, Zhao Kang:
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning. - Giuseppe Antonio Di Luna, Giovanni Viglietta:
Universal Finite-State and Self-Stabilizing Computation in Anonymous Dynamic Networks. - Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy:
AirCompSim: A Discrete Event Simulator for Air Computing. - Weiping Xiao, Yiqiang Wu, Chang Liu, Yu Qin, Xiaomao Li, Liming Xin:
Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection. - Qiu Guan, Mengjie Pan, Feng Chen, Zhiqiang Yang, Zhongwen Yu, Qianwei Zhou, Haigen Hu:
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images. - Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao:
Curriculum Prompting Foundation Models for Medical Image Segmentation. - Jasper Dekoninck, Maximilian Baader, Martin T. Vechev:
Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation. - Karim El Khoury, Maxime Zanella, Benoît Gérin, Tiffanie Godelaine, Benoît Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed:
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification. - Yan Rong, Li Liu:
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion. - Bram van Dijk, Saif ul Islam, Jim Achterberg, Hafiz Muhammad Waseem, Parisis Gallos, Gregory Epiphaniou, Carsten Maple, Marcel R. Haas, Marco Spruit:
A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications. - Hyunsoo Kim, Junyoung Kim, Minjin Choi, Sunkyung Lee, Jongwuk Lee:
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation. - Kento Kawaharazuka, Masaya Kawamura, Shogo Makino, Yuki Asano, Kei Okada, Masayuki Inaba:
Antagonist Inhibition Control in Redundant Tendon-driven Structures Based on Human Reciprocal Innervation for Wide Range Limb Motion of Musculoskeletal Humanoids. - Daniela Schuster:
Abstaining Machine Learning - Philosophical Considerations. - Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP:
ReMOVE: A Reference-free Metric for Object Erasure. - Doehyun Baek, Jakob Getz, Yusung Sim, Daniel Lehmann, Ben L. Titzer, Sukyoung Ryu, Michael Pradel:
Wasm-R3: Record-Reduce-Replay for Realistic and Standalone WebAssembly Benchmarks. - Ziyu Lin, Zhiwei Lin, Ximeng Liu, Zuobing Ying, Cheng Chen:
Unveiling the Bandwidth Nightmare: CDN Compression Format Conversion Attacks. - Natalia Zhang, Xinqi Wang, Qiwen Cui, Runlong Zhou, Sham M. Kakade, Simon S. Du:
Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques. - Chung-Ming Huang, Yen-Hung Wu, Duy-Tuan Dao:
Reliability-considered Multi-platoon's Groupcasting using the Resource Sharing Method. - Yoji Tomita, Tomohiki Yokoyama:
Fair Reciprocal Recommendation in Matching Markets. - Michael Haman, Milan Skolník:
Who Would Chatbots Vote For? Political Preferences of ChatGPT and Gemini in the 2024 European Union Elections. - Akash Anand, Prakash Nainwal:
A modified FC-Gram approximation algorithm with provable error bounds. - Zhaojie Fang, Xiao Yu, Guanyu Zhou, Ke Zhuang, Yifei Chen, Ruiquan Ge, Changmiao Wang, Gangyong Jia, Qing Wu, Juan Ye, Maimaiti Nuliqiman, Peifang Xu, Ahmed Elazab:
LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset. - Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuanhui Yang, Yuanyuan Zhu, Chuang Hu, Bo Du, Jiawei Jiang:
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph. - Bruce Huang, I-Hsiang Wang:
On the Price of Decentralization in Decentralized Detection. - Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry:
ContextCite: Attributing Model Generation to Context. - Zihan Zhou, Xiaoxue Wang, Tianshu Yu:
Generating Physical Dynamics under Priors. - Shahriar Jahan, Roknuzzaman, Md Robiul Islam:
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review. - Kota Okudo, Kei Kobayashi:
Benign Overfitting for α Sub-exponential Input. - Mahsa Khosravi, Matthew Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar:
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. - Ziqiang Dang, Tianxing Fan, Boming Zhao, Xujie Shen, Lei Wang, Guofeng Zhang, Zhaopeng Cui:
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds. - Jane Hsieh, Angie Zhang, Seyun Kim, Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Min Kyung Lee, Haiyi Zhu:
Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities. - Marvin Strauss, Viktorija Paneva, Florian Alt, Stefan Schneegass:
Designing and Evaluating Scalable Privacy Awareness and Control User Interfaces for Mixed Reality. - Yuxia Zhan, Yan Meng, Lu Zhou, Yichang Xiong, Xiaokuan Zhang, Lichuan Ma, Guoxing Chen, Qingqi Pei, Haojin Zhu:
VPVet: Vetting Privacy Policies of Virtual Reality Apps. - Andrea Maracani, Lorenzo Rosasco, Lorenzo Natale:
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation. - Gonzalo Bohorquez, John Cartlidge:
Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network. - Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He:
Interpretable Clustering: A Survey. - Huixin Zhang, Guangming Wang, Xinrui Wu, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang:
DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation. - Chen Yang, Junjie Chen, Jiajun Jiang, Yuliang Huang:
Dependency-Aware Code Naturalness. - Hongliang Li, Pingbing Ming, Yinghong Zhou:
The TRUNC element in any dimension and application to a modified Poisson equation. - Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai:
Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency. - Yuancheng Wang, Haoyue Zhan, Liwei Liu, Ruihong Zeng, Haotian Guo, Jiachen Zheng, Qiang Zhang, Shunsi Zhang, Zhizheng Wu:
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer. - Tim Raven, Arthur Matei, Gernot A. Fink:
Self-Supervised Vision Transformers for Writer Retrieval. - Xiaocan Li, Xiaoyu Wang, Ilia Smirnov, Scott Sanner, Baher Abdulhai:
Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control. - Jiaming Yin, Weixiong Rao, Yu Xiao, Keshuang Tang:
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning. - Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He:
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification. - Eunsuk Kang, Mary Shaw:
tl;dr: Chill, y'all: AI Will Not Devour SE. - Robinroy Peter, Lavanya Ratnabala, Eugene Yugarajah Andrew Charles, Dzmitry Tsetserukou:
Dynamic Subgoal based Path Formation and Task Allocation: A NeuroFleets Approach to Scalable Swarm Robotics. - Xiaoying Dai, Yan Li, Bin Yang, Aihui Zhou:
Numerical Analysis of the Parallel Orbital-Updating Approach for Eigenvalue Problems. - Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. - Antoine Amarilli:
Survey of Results on the ModPath and ModCycle Problems. - Kaja Balzereit, Niels Grüttemeier, Nils Morawietz, Dennis Reinhardt, Stefan Windmann, Petra Wolf:
Scalable Neighborhood Local Search for Single-Machine Scheduling with Family Setup Times. - Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro, Uzair Khan, Aditya Jivoji, Franco Fummi, Marco Cristani:
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation. - Zhihao Huang, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
VDPI: Video Deblurring with Pseudo-inverse Modeling. - Ravi Prakash, Sinnu Susan Thomas:
Unbalanced Fingerprint Classification for Hybrid Fingerprint Orientation Maps. - Michael Sejr Schlichtkrull:
Generating Media Background Checks for Automated Source Critical Reasoning. - Hyunsung Cho, Naveen Sendhilnathan, Michael Nebeling, Tianyi Wang, Purnima Padmanabhan, Jonathan Browder, David Lindlbauer, Tanya R. Jonker, Kashyap Todi:
SonoHaptics: An Audio-Haptic Cursor for Gaze-Based Object Selection in XR. - Martin Mayr, Marcel Dreier, Florian Kordon, Mathias Seuret, Jochen Zöllner, Fei Wu, Andreas Maier, Vincent Christlein:
Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models. - Bocheng Chen, Hanqing Guo, Guangjing Wang, Yuanda Wang, Qiben Yan:
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs. - Ashish Kumar, Durga Toshniwal:
Modeling Text-Label Alignment for Hierarchical Text Classification. - Mikkel Abrahamsen:
ExpoSort: Breaking the quasi-polynomial-time barrier for reluctant sorting. - Yaoxun Xu, Shi-Xiong Zhang, Jianwei Yu, Zhiyong Wu, Dong Yu:
Comparing Discrete and Continuous Space LLMs for Speech Recognition. - Md Rezwanur Rahman, Tarun Annapareddy, Shirin Ebadi, Varsha Natarajan, Adarsh Srinivasan, Eric Keller, Shivakant Mishra:
Container Data Item: An Abstract Datatype for Efficient Container-based Edge Computing. - Haoyu Lan, Bino A. Varghese, Nasim Sheikh-Bahaei, Farshid Sepehrband, Arthur W. Toga, Jeiran Choupan:
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details. - Jason E. Hicken, Ge Yan, Sharanjeet Kaur:
Constructing stable, high-order finite-difference operators on point clouds over complex geometries. - Kanthimathi S, Shravan Venkatraman, Jayasankar K. S, Pranay Jiljith T, Jashwanth R:
A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification. - Hao Shi, Yuan Gao, Zhaoheng Ni, Tatsuya Kawahara:
Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition. - Haobo Yang:
Comparison of Encryption Algorithms for Wearable Devices in IoT Systems. - Sumit Mahajan, Arbaz Khan:
hp-discontinuous Galerkin method for the generalized Burgers-Huxley equation with weakly singular kernels. - Zengrui Jin, Yifan Yang, Mohan Shi, Wei Kang, Xiaoyu Yang, Zengwei Yao, Fangjun Kuang, Liyong Guo, Lingwei Meng, Long Lin, Yong Xu, Shi-Xiong Zhang, Daniel Povey:
LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization. - Eden Ship, Eitan Spivak, Shubham Agarwal, Raz Birman, Ofer Hadar:
Real-Time Weather Image Classification with SVM. - (Withdrawn) RTop-K: Ultra-Fast Row-Wise Top-K Algorithm and GPU Implementation for Neural Networks.
- Anthony Bonato, Juan Sebastian Chavez Palan, Adam Szava:
Enhancing Anti-Money Laundering Efforts with Network-Based Algorithms. - Philippe J. Giabbanelli, Jack Beerman:
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike? - Jim Plusquellic, Jennifer Howard, Ross MacKinnon, Kristianna Hoffman, Eirini-Eleni Tsiropoulou, Calvin Chan:
A Physical Layer Analysis of Entropy in Delay-Based PUFs Implemented on FPGAs. - Petr Specián:
Digital Homunculi: Reimagining Democracy Research with Generative Agents. - Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma:
Curvy: A Parametric Cross-section based Surface Reconstruction. - Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Ramesh C. Jain:
Building FKG.in: a Knowledge Graph for Indian Food. - Yuxiao Zhou, Menglei Chai, Daoye Wang, Sebastian Winberg, Erroll Wood, Kripasindhu Sarkar, Markus Gross, Thabo Beeler:
GroomCap: High-Fidelity Prior-Free Hair Capture. - Jediah Katz, Bahar Bateni, Adam M. Smith:
You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG. - Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang, Li Wang, Yifan Tang, Jilong Guo, Jun Li:
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving. - Emanuele Zappala, Maryam Bagherian:
Universal Approximation of Operators with Transformers and Neural Integral Operators. - Blair Yang, Fuyang Cui, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang:
Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries. - Anas Mahmoud, Ali Harakeh, Steven Lake Waslander:
Image-to-Lidar Relational Distillation for Autonomous Driving Data. - Eric Anderson, Jonathan Fritz, Austin Lee, Bohou Li, Mark Lindblad, Henry Lindeman, Alex Meyer, Parth Parmar, Tanvi Ranade, Mehul A. Shah, Benjamin Sowell, Dan Tecuci, Vinayak Thapliyal, Matt Welsh:
The Design of an LLM-powered Unstructured Analytics System. - Jin Sima, Vishal Rana, Olgica Milenkovic:
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding. - Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke:
Dissecting Temporal Understanding in Text-to-Audio Retrieval. - Hsuan-Yin Lin, Yi-Sheng Su, Mao-Ching Chiu:
Achieving Optimal Short-Blocklength Secrecy Rate Using Multi-Kernel PAC Codes for the Binary Erasure Wiretap Channel. - Chris Lu, Michael Beukman, Michael T. Matthews, Jakob N. Foerster:
JaxLife: An Open-Ended Agentic Simulator. - Steven Tang, Mingcan Xiang, Yang Wang, Bo Wu, Jianjun Chen, Tongping Liu:
Scaler: Efficient and Effective Cross Flow Analysis. - Xuechen Liang, Meiling Tao, Yinghui Xia, Tianyu Shi, Jun Wang, JingSong Yang:
LanguaShrink: Reducing Token Overhead with Psycholinguistics. - William Zhang, Maria Leon, Ryan Xu, Adriana Cárdenas, Amelia Wissink, Hanna Martin, Maya Srikanth, Kaya Dorogi, Christian Valadez, Pedro Perez, Citlalli Grijalva, Corey Zhang, Mark Santolucito:
Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages. - Zilin Huang, Zihao Sheng, Sikai Chen:
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving. - Bhavik Chandna, Procheta Sen:
A Counterfactual Explanation Framework for Retrieval Models. - Derian Boer, Fabian Koch, Stefan Kramer:
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering. - Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen:
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. - Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin, Zhishan Guo, Nazanin Rahnavard:
Fisher Information guided Purification against Backdoor Attacks. - Animesh Nema, Christopher Grontkowski, Derek Calzada, Sanjuksha Nirgude:
Automated Cinematography Motion Planning for UAVs. - Michael Evans, Marcial Machado, Rickey Johnson, Anna Vadella, Luis Escamilla, Beñat Froemming-Aldanondo, Tatiana Rastoskueva, Milan Jostes, Devson Butani, Ryan Kaddis, Chan-Jin Chung, Joshua Siegel:
Vehicle-to-Everything (V2X) Communication: A Roadside Unit for Adaptive Intersection Control of Autonomous Electric Vehicles. - Akshay Kumar, Ashwin Sahasrabudhe, Chaitanya Perugu, Sanjuksha Nirgude, Aakash Murugan:
Kinematics & Dynamics Library for Baxter Arm. - Sanjuksha Nirgude, Kevin DuCharme, Namrita Madhusoodanan:
Detection, Recognition and Pose Estimation of Tabletop Objects. - Xuechen Liang, Meiling Tao, Yinghui Xia, Tianyu Shi, Jun Wang, JingSong Yang:
Self-evolving Agents with reflective and memory-augmented abilities. - Sajib Acharjee Dip, Kazi Hasan Ibn Arif, Uddip Acharjee Shuvo, Ishtiaque Ahmed Khan, Na Meng:
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation. - Alyssia Chen, Timothy Huo, Yunhee Nam, Dan Port, Anthony Peruma:
The Impact of Generative AI-Powered Code Generation Tools on Software Engineer Hiring: Recruiters' Experiences, Perceptions, and Strategies. - Jiajie Li, Jan-Niklas Schmelzle, Yixiao Du, Simon Heumos, Andrea Guarracino, Giulia Guidi, Pjotr Prins, Erik Garrison, Zhiru Zhang:
Rapid GPU-Based Pangenome Graph Layout. - Md. Manjurul Ahsan, Benjamin Bevans, Chris Billings, Alexander Riensche, Yingtao Liu, Shivakumar Raman, Zahed Siddique:
Digital Twins in Additive Manufacturing: A Systematic Review. - Youngseog Chung, Dhruv Malik, Jeff G. Schneider, Yuanzhi Li, Aarti Singh:
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. - Aditya Bansal, Michael Yuhas, Arvind Easwaran:
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment. - Van Nguyen, Surya Nepal, Tingmin Wu, Xingliang Yuan, Carsten Rudolph:
SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection. - Brian Sweeney, Malena I. Español, Rosemary Renaut:
Efficient Decomposition-Based Algorithms for ℓ1-Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices. - Atsushi Otsuka, Kazuya Matsuo, Ryo Ishii, Narichika Nomoto, Hiroaki Sugiyama:
User-Specific Dialogue Generation with User Profile-Aware Pre-Training Model and Parameter-Efficient Fine-Tuning. - Hsin-Po Wang, Venkatesan Guruswami:
Geno-Weaving: Low-Complexity Capacity-Achieving DNA Storage. - Sachin Pathiyan Cherumanal, Falk Scholer, Johanne R. Trippas, Damiano Spina:
Towards Investigating Biases in Spoken Conversational Search. - Josef Dick, Hecong Gao, William McLean, Kassem Mustapha:
Time-fractional diffusion equations with randomness, and efficient numerical estimations of expected values. - Yicheng Li, Qian Lin:
Improving Adaptivity via Over-Parameterization in Sequence Models. - Tianyue Wu, Yeke Chen, Tianyang Chen, Guangyu Zhao, Fei Gao:
Whole-Body Control Through Narrow Gaps From Pixels To Action. - Deepak Dagar, Dinesh Kumar Vishwakarma:
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization. - Xiaojian Wang, Ruozhou Yu, Dejun Yang, Guoliang Xue:
Infiltrating the Sky: Data Delay and Overflow Attacks in Earth Observation Constellations. - Yizhou Liu, Pengfei Gao, Xinchen Wang, Jie Liu, Yexuan Shi, Zhao Zhang, Chao Peng:
MarsCode Agent: AI-native Automated Bug Fixing. - Jinhui Yi, Yanan Luo, Marion Deichmann, Gabriel Schaaf, Juergen Gall:
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies. - Zhanwen Liu, Chao Li, Yang Wang, Nan Yang, Xing Fan, Jiaqi Ma, Xiangmo Zhao:
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction. - Chao Gu, Ke Lin, Yiyang Luo, Jiahui Hou, Xiang-Yang Li:
ViRED: Prediction of Visual Relations in Engineering Drawings. - Liang Wu, Bertram E. Shi:
Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation. - Yuxi Zhang, Xiang Chen, Jiazheng Wang, Min Liu, Yaonan Wang, Dongdong Liu, Renjiu Hu, Hang Zhang:
Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024. - Mo Sun, Zihan Yang, Changyue Liao, Yingtao Li, Fei Wu, Zeke Wang:
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs. - Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
MMT-BERT: Chord-aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT. - Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. - Andrew Blinn, Xiang Li, June Hyung Kim, Cyrus Omar:
Statically Contextualizing Large Language Models with Typed Holes. - Dawei Wang, Geng Zhou, Li Chen, Dan Li, Yukai Miao:
ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model. - Shijie Wang:
Development of Occupancy Prediction Algorithm for Underground Parking Lots. - Nan Zhou, Ke Zou, Kai Ren, Mengting Luo, Linchao He, Meng Wang, Yidi Chen, Yi Zhang, Hu Chen, Huazhu Fu:
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM. - Zhuolin Tan, Chenqiang Gao, Anyong Qin, Ruixin Chen, Tiecheng Song, Feng Yang, Deyu Meng:
Towards Student Actions in Classroom Scenes: New Dataset and Baseline. - Haohan Guo, Fenglong Xie, Kun Xie, Dongchao Yang, Dake Guo, Xixin Wu, Helen Meng:
SoCodec: A Semantic-Ordered Multi-Stream Speech Codec for Efficient Language Model Based Text-to-Speech Synthesis. - Hai Ye, Hwee Tou Ng:
Self-Judge: Selective Instruction Following with Alignment Self-Evaluation. - Ruoyu Wen, Stephanie Elena Crowe, Kunal Gupta, Xinyue Li, Mark Billinghurst, Simon Hoermann, Dwain Allan, Alaeddin Nassani, Thammathip Piumsomboon:
Large Language Models for Automatic Detection of Sensitive Topics. - Heyin Shen, Chong Han, Hao Liu, Tao Yang:
Frequency-Position-Fluid Antenna Array for Ultra-dense Connectivity in Terahertz Beamforming Systems. - Yixuan Zhou, Xing Xu, Zhe Sun, Jingkuan Song, Andrzej Cichocki, Heng Tao Shen:
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization. - Kaung Myat Kyaw, Jonathan Hoyin Chan:
A Framework for Synthetic Audio Conversations Generation using Large Language Models. - Yanfeng Zhou, Lingrui Li, Zichen Wang, Guole Liu, Ziwen Liu, Ge Yang:
XNet v2: Fewer Limitations, Better Results and Greater Universality. - Harsh Oza, Irinel-Constantin Morarescu, Vineeth S. Varma, Ravi N. Banavar:
Stability of multiplexed NCS based on an epsilon-greedy algorithm for communication selection. - Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar:
Semantically Controllable Augmentations for Generalizable Robot Learning. - Ge Gao, Ho Man Kwan, Fan Zhang, David Bull:
PNVC: Towards Practical INR-based Video Compression. - Vadym Shvydun, Justin Sato, Gabriel Bristot:
A Comprehensive Analysis of the Future of Atomically Precise Manufacturing. - Guanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu:
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. - Yijiang Liu, Hui Wang:
Mental-Gen: A Brain-Computer Interface-Based Interactive Method for Interior Space Generative Design. - Vincent Wilmet, Johnson Du:
What does it take to get state of the art in simultaneous speech-to-speech translation? - Sungjoon Park, Jaesub Yun, Donggeon Lee, Minsik Park:
Interpretable Convolutional SyncNet. - Lukas Lundgren, Christian Helanow, Jonathan Wiskandt, Inga Monika Koszalka, Josefin Ahlkrona:
A potential energy conserving finite element method for turbulent variable density flow: application to glacier-fjord circulation. - Fangcen Liu, Chenqiang Gao, Fang Chen, Pengcheng Li, Junjie Guo, Deyu Meng:
IVGF: The Fusion-Guided Infrared and Visible General Framework. - Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi:
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. - Chong Zhang, Min Dong, Ben Liang, Ali Afana, Yahia Ahmed:
Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning. - Shion Takeno, Yu Inatsu, Masayuki Karasuyama:
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound. - Priyanka Chudasama, Anil Surisetty, Aakarsh Malhotra, Alok Singh:
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data. - Rongkai Shi, Yushi Wei, Xuning Hu, Yu Liu, Yong Yue, Lingyun Yu, Hai-Ning Liang:
Experimental Analysis of Freehand Multi-Object Selection Techniques in Virtual Reality Head-Mounted Displays. - Zhenye Xu, Yao Guo:
GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU. - Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee:
Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces. - Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim, Hyeongseop Rha, Seunghee Han, Wen-Huang Cheng, Yong Man Ro:
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language. - Lening Guo, Jing Yu, Ning Zhang, Chuangbai Xiao:
Self-Supervised Multi-Scale Network for Blind Image Deblurring via Alternating Optimization. - Xiaobin Lu, Xiaobin Hu, Jun Luo, Ben Zhu, Yaping Ruan, Wenqi Ren:
3D Priors-Guided Diffusion for Blind Face Restoration. - Tianyong Ye, Wei Xu, Chunran Zheng, Yukang Cui:
MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge. - Ilya Horiguchi, Takahide Yoshida, Takashi Ikegami:
Evolution of Social Norms in LLM Agents using Natural Language. - Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Borja Garcia de Soto, Tarek Abdoun, Mostafa E. Mobasher:
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction. - Keer Lu, Zheng Liang, Xiaonan Nie, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Wentao Zhang, Bin Cui:
DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning. - Nicola Parolini, V. Covello, Alessandro Della Rocca, Marco Verani:
Design of a checkerboard counterflow heat exchanger for industrial applications. - Ratnadira Widyasari, David Lo, Lizi Liao:
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques. - Mohammed H. Alsharif, Mohanad Ahmed, Mohamed Siala, Tareq Y. Al-Naffouri:
Kalman Filtering for Precise Indoor Position and Orientation Estimation Using IMU and Acoustics on Riemannian Manifolds. - Qian Li, Shuojue Yang, Daiyun Shen, Yueming Jin:
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos. - Xinyang Du, Xuming Fang, Rong He, Li Yan, Liuming Lu, Chaoming Luo:
Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments. - Utkarsh Bajaj:
Hypergraph rewriting and Causal structure of λ-calculus. - Edward Y. Chang:
Unlocking the Wisdom of Large Language Models: An Introduction to The Path to Artificial General Intelligence. - Joon-Hyeok Yim, Anna C. Gilbert:
Fitting trees to ℓ1-hyperbolic distances. - Yingfa Chen, Chenlong Hu, Cong Feng, Chenyang Song, Shi Yu, Xu Han, Zhiyuan Liu, Maosong Sun:
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts. - Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. - Xiaojie Xu, Tianshuo Xu, Fulong Ma, Yingcong Chen:
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model. - Herbert Egger, Felix Engertsberger, Lukas Domenig, Klaus Roppert, Manfred Kaltenbacher:
On nonlinear magnetic field solvers using local Quasi-Newton updates. - Ruojun Zhou, Lisha Qu, Lei Zhang, Ziming Li, Hongwei Yu, Bing Luo:
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation. - (Withdrawn) CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.
- Gargi Panda, Soumitra Kundu, Saumik Bhattacharya, Aurobinda Routray:
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement. - Marco Sutti, Tommaso Vanzan:
Nonlinear Schwarz methods to compute geodesics on manifolds. - Isao Goto:
Variation in prediction accuracy due to randomness in data division and fair evaluation using interval estimation. - Yijiang Liu, Xiangyu Guan, Hui Wang, Lun Liu:
Mindscape: Research of high-information density street environments based on electroencephalogram recording and virtual reality head-mounted simulation. - Goluck Konuko, Giuseppe Valenzise:
Multi-Reference Generative Face Video Compression with Contrastive Learning. - Jiahe Tian, Peng Chen, Cai Yu, Xiaomeng Fu, Xi Wang, Jiao Dai, Jizhong Han:
Learning to Discover Forgery Cues for Face Forgery Detection. - Gabriele Ciaremalla, Tommaso Vanzan:
Variable reduction as a nonlinear preconditioning approach for optimization problems. - Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen:
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning. - Paolo Magri, Javad Amirian, Mohamed Chetouani:
Upgrading Pepper Robot s Social Interaction with Advanced Hardware and Perception Enhancements. - Ke Chang, Hao Li, Junzhao Zhang, Yunfang Wu:
NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset. - Yu Xiang Tan, Malika Meghjani:
Robust Vehicle Localization and Tracking in Rain using Street Maps. - Anas Skalli, Mirko Goldmann, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
Annealing-inspired training of an optical neural network with ternary weights. - Varun Prakash Rajamohan, Senthil Kumar Jagatheesaperumal:
Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm. - Johannes Niu, Mila Stillman, Philipp Seeberger, Anna M. Kruspe:
A dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian war. - Imke van Heerden, Anil Bas:
A Perspective on Literary Metaphor in the Context of Generative AI. - Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu:
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. - Raluca Stana, Louise Harder Fischer, Hanne Westh Nicolajsen:
Review for future research in digital leadership. - Nils Bars, Moritz Schloegel, Nico Schiller, Lukas Bernhard, Thorsten Holz:
No Peer, no Cry: Network Application Fuzzing via Fault Injection. - Bin Yang, Boda Liu, Yilong Han, Xin Meng, Yifan Wang, Hansi Yang, Jianzhuang Xia:
Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process. - Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-Man Cheung:
Defending against Model Inversion Attacks via Random Erasing. - Kejia Pan, Jin Li, Zhilin Li, Kang Fu:
Fourth-order compact finite difference schemes for solving biharmonic equations with Dirichlet boundary conditions. - Poppy Collis, Ryan Singh, Paul F. Kinghorn, Christopher L. Buckley:
Learning in Hybrid Active Inference Models. - Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. - Yuxuan Wang, Cihang Xie, Yang Liu, Zilong Zheng:
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges. - Taorong Liu, Jing Xiao, Liang Liao, Chia-Wen Lin:
Towards Robust Online Domain Adaptive Semantic Segmentation under Adverse Weather Conditions. - Yuqi Liu, Wenqian Zhang, Sihan Ren, Chengyu Huang, Jingyi Yu, Lan Xu:
SCOPE: Sign Language Contextual Processing with Embedding from LLMs. - Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng:
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. - Giann Karlo Aguirre-Samboní, Stefan Haar, Loïc Paulevé, Stefan Schwoon, Nick Würdemann:
Attractor Basins in Concurrent Systems. - Till M. Blaha, Ewoud J. J. Smeur, Bart D. W. Remes, Coen C. de Visser:
Flying a Quadrotor with Unknown Actuators and Sensor Configuration. - Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. - Danilo Dordevic, Suryansh Kumar:
Evidential Transformers for Improved Image Retrieval. - Fan Zhang, Michael Gienger:
Affordance-based Robot Manipulation with Flow Matching. - Xiaolong Wang, Zhi-Qi Cheng, Jue Wang, Xiaojiang Peng:
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing. - Muhammad Umair, Tangina Sultana, Young-Koo Lee:
Pre-Trained Language Models for Keyphrase Prediction: A Review. - Michail Zervas, Alexandros Karakasidis:
Towards Split Learning-based Privacy-Preserving Record Linkage. - Ioannis Panopoulos, Stylianos I. Venieris, Iakovos S. Venieris:
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads. - Manon Kok, Arno Solin:
Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection. - Wenshuai Liu, Yaru Fu, Yongna Guo, Fu Lee Wang, Wen Sun, Yan Zhang:
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Yang Li, Jianli Xiao:
DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios. - Tobias Wolf, Derek Driggs, Kostas Papafitsoros, Elena Resmerita, Carola-Bibiane Schönlieb:
Nested Bregman Iterations for Decomposition Problems. - Yingrui Wu, Mingyang Zhao, Weize Quan, Jian Shi, Xiaohong Jia, Dong-Ming Yan:
OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds. - Amélie Gheerbrant, Leonid Libkin, Liat Peterfreund, Alexandra Rogova:
GQL and SQL/PGQ: Theoretical Models and Expressive Power. - Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto:
AI Olympics challenge with Evolutionary Soft Actor Critic. - Sotiris Michaelides, David Rupprecht, Katharina Kohls:
Poster: Developing an O-RAN Security Test Lab. - Alberto Bacchin, Davide Allegro, Stefano Ghidoni, Emanuele Menegatti:
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation. - Zhihao Xu, Shengjie Gong, Jiapeng Tang, Lingyu Liang, Yining Huang, Haojie Li, Shuangping Huang:
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding. - Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi, Fabrice Morganti, David Mercier:
Time series classification with random convolution kernels based transforms: pooling operators and input representations matter. - Erwin de Gelder, Olaf Op den Camp:
Scenario-based assessment of automated driving systems: How (not) to parameterize scenarios? - Per Persson, Johan Linåker:
Soft-lockins in Public Sector Acquisitions of Open Source Software-solutions: A Case Study on a Municipal E-Service Platform. - Simon Obermüller, Jannis Clausius, Marvin Geiselhart, Stephan ten Brink:
Bounds for Joint Detection and Decoding on the Binary-Input AWGN Channel. - Patricia Alonso-Álvarez, Nees Jan van Eck:
Coverage and metadata availability of African publications in OpenAlex: A comparative analysis. - José G. López-Salas, M. Suárez-Taboada, Manuel Jesús Castro Díaz, Ana Maria Ferreiro-Ferreiro, José Antonio García-Rodríguez:
IMEX-RK finite volume methods for nonlinear 1d parabolic PDEs. Application to option pricing. - Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang:
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. - Sudharsan Senthil, Shubham Paul, Nambi Seshadri, Ravinder David Koilpillai:
Learning Robust Representations for Communications over Noisy Channels. - José G. López-Salas, M. Suárez-Taboada, Manuel J. Castro, Ana Maria Ferreiro-Ferreiro, José Antonio García-Rodríguez:
Second order finite volume IMEX Runge-Kutta schemes for two dimensional parabolic PDEs in finance. - Zhongyi Xia, Tianzhao Wu:
Large Language Models Can Understanding Depth from Monocular Images. - Caglar Tunc, Kübra Duran, Buse Bilgin, Gökhan Kalem, Berk Canberk:
DTRAN: A Special Use Case of RAN Optimization using Digital Twin. - (Withdrawn) Smart E-commerce Recommendations with Semantic AI.
- Tuong Vy Nguyen, Johannes Hoster, Alexander Glaser, Kristian Hildebrand, Felix Biessmann:
Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics. - Erwin de Gelder, Maren Buermann, Olaf Op den Camp:
Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems. - Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai:
LLM-PQA: LLM-enhanced Prediction Query Answering. - Sungmin Yun, Kwanhee Kyung, Juhwan Cho, Jaewan Choi, Jongmin Kim, Byeongho Kim, Sukhan Lee, Kyomin Sohn, Jung Ho Ahn:
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching. - Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan:
FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment. - Mohamed Elobaid, Giulio Turrisi, Lorenzo Rapetti, Giulio Romualdi, Stefano Dafarra, Tomohiro Kawakami, Tomohiro Chaki, Takahide Yoshiike, Claudio Semini, Daniele Pucci:
Online Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots. - Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu:
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. - Mingyuan Yao, Yukang Huo, Qingbin Tian, Jiayin Zhao, Xiao Liu, Ruifeng Wang, Haihua Wang:
FMRFT: Fusion Mamba and DETR for Query Time Sequence Intersection Fish Tracking. - Yueqian Wang, Jianxin Liang, Yuxuan Wang, Huishuai Zhang, Dongyan Zhao:
Understanding Multimodal Hallucination with Parameter-Free Representation Alignment. - Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi:
Real World Conversational Entity Linking Requires More Than Zeroshots. - Michael Morris:
Forecasting infectious disease prevalence with associated uncertainty using neural networks. - Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. - Mohamed Elobaid, Stefano Dafarra, Ehsan Ranjbari, Giulio Romualdi, Tomohiro Chaki, Tomohiro Kawakami, Takahide Yoshiike, Daniele Pucci:
Remote telepresence over large distances via robot avatars: case studies. - Luke Geeson, James Brotherston, Wilco Dijkstra, Alastair F. Donaldson, Lee Smith, Tyler Sorensen, John Wickerson:
Mix Testing: Specifying and Testing ABI Compatibility of C/C++ Atomics Implementations. - Gaotong Yu, Yi Chen, Jian Xu:
Balancing Performance and Efficiency: A Multimodal Large Language Model Pruning Method based Image Text Interaction. - Abdullah Tokmak, Thomas B. Schön, Dominik Baumann:
PACSBO: Probably approximately correct safe Bayesian optimization. - Álvaro Callejas-Ramos, Matilde Sánchez Fernández, Antonia M. Tulino, Jaime Llorca:
Nuclear Atomic Norm for parametric estimation of sparse channels. - Hsin-Yi Chen, Chuan-Kai Fu, Jen-Hui Chuang:
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose. - Giorgos Marinou, Ibrahima Kourouma, Katja D. Mombaur:
Development and Validation of a Modular Sensor-Based System for Gait Analysis and Control in Lower-Limb Exoskeletons. - Andrija Djurisic, Rosanne Liu, Mladen Nikolic:
Logit Scaling for Out-of-Distribution Detection. - Antonio Losada Gonzalez:
Space module with gyroscope and accelerometer integration. - Gemb Kaljavesi, Xiyan Su, Frank Diermeyer:
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving. - Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu:
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. - Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. - Ivan Sabolic, Ivan Grubisic, Sinisa Segvic:
Backdoor Defense through Self-Supervised and Generative Learning. - Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li:
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. - Rui Zeng, Xi Chen, Yuwen Pu, Xuhong Zhang, Tianyu Du, Shouling Ji:
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models. - Daniel Huczala, Andreas Mair, Tomás Postulka:
Direct Kinematics, Inverse Kinematics, and Motion Planning of 1-DoF Rational Linkages. - Liuhan Chen, Zongjian Li, Bin Lin, Bin Zhu, Qian Wang, Shenghai Yuan, Xing Zhou, Xinhua Cheng, Li Yuan:
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model. - Olaf Borsboom, Arnab Bhadra, Mauro Salazar, Theo Hofman:
Geometric Scaling Laws for Axial Flux Permanent Magnet Motors in In-Wheel Powertrain Topologies. - Jiao Chen, Jiayi He, Fangfang Chen, Zuohong Lv, Jianhua Tang, Weihua Li, Zuozhu Liu, Howard H. Yang, Guangjie Han:
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models. - Mihai Bucataru, Dragos Manea:
Discrete Laplacians on the hyperbolic space - a compared study. - Zewen Chen, Sunhan Xu, Yun Zeng, Haochen Guo, Jian Guo, Shuai Liu, Juan Wang, Bing Li, Weiming Hu, Dehua Liu, Hesong Li:
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation. - Alexandre Benatti, Luciano da F. Costa:
Supervised Pattern Recognition Involving Skewed Feature Densities. - Serena Cofano, Giacomo Benedetti, Matteo Dell'Amico:
SBOM Generation Tools in the Python Ecosystem: an In-Detail Analysis. - Caterina Millevoi, Claudia Zoccarato, Massimiliano Ferronato:
A deep learning-based surrogate model for seismic data assimilation in fault activation modeling. - Luoyu Mei, Shuai Wang, Yun Cheng, Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, Wei Gong:
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers. - Asma Amalas, Mounir Ghogho, Mohamed Chetouani, Rachid Oulad Haj Thami:
A multilingual training strategy for low resource Text to Speech. - Kim Jinwoo:
A Review of Image Retrieval Techniques: Data Augmentation and Adversarial Learning Approaches. - Piotr Bacik:
Completing the picture for the Skolem Problem on order-4 linear recurrence sequences. - Yuan Li, Shuai Lu, Wei Gu, Yijun Xu, Ruizhi Yu, Suhan Zhang, Zhikai Huang:
Nonlinear PDE Constrained Optimal Dispatch of Gas and Power: A Global Linearization Approach. - Yan Hao Ling, Jonathan Scarlett:
Exact Error Exponents of Concatenated Codes for DNA Storage. - Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, Shane Luke:
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. - Mikhail Kiselev:
CoLaNET - A Spiking Neural Network with Columnar Layered Architecture for Classification. - Bartosz Bednarczyk, Daumantas Kojelis, Ian Pratt-Hartmann:
The Adjacent Fragment and Quine's Limits of Decision. - Victor De Marez, Thomas Winters, Ayla Rigouts Terryn:
THInC: A Theory-Driven Framework for Computational Humor Detection. - Michael Kühr, Mohammad Hamad, Pedram MohajerAnsari, Mert D. Pesé, Sebastian Steinhorst:
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles. - Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong:
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. - Chuhan Jiao, Guanhua Zhang, Zhiming Hu, Andreas Bulling:
DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis. - Sorin Mihai Grigorescu, Mihai V. Zaha:
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation. - Ilari Vallivaara, Yinhuan Dong, Tughrul Arslan:
Saying goodbyes to rotating your phone: Magnetometer calibration during SLAM. - David Eckel, Baohe Zhang, Joschka Bödecker:
Revisiting Safe Exploration in Safe Reinforcement learning. - John Burden, Manuel Cebrián, José Hernández-Orallo:
Conversational Complexity for Assessing Risk in Large Language Models. - Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness. - Jiarong Yang, Yuan Liu:
GAS: Generative Activation-Aided Asynchronous Split Federated Learning. - Max von Danwitz, Jacopo Bonari, Philip Franz, Lisa Kuehn, Marco Mattuschka, Alexander Popp:
Contaminant Dispersion Simulation in a Digital Twin Framework for Critical Infrastructure Protection. - Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, ChengZhong Xu:
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. - Viktor Trón, Viktor Tóth, Callum Toner, Dan Nickless, Dániel A. Nagy, Áron Fischer, György Barabás:
Non-local redundancy: Erasure coding and dispersed replicas for robust retrieval in the Swarm peer-to-peer network. - Zhen Xu:
Generating Packet-Level Header Traces Using GNN-powered GAN. - Parthasarathy Srinivasan:
A prony method variant which surpasses the Adaptive LMS filter in the output signal's representation of input. - German F. Torres, Jussi Kalliola, Soumya Tripathy, Erman Acar, Joni-Kristian Kämäräinen:
DAVIDE: Depth-Aware Video Deblurring. - Michel Kunkler, Felix Schumann,