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ORCIDCoRR, November 2024
- Ziheng Guo, Igor Cialenco, Ming Zhong:
Noise Guided Structural Learning from Observing Stochastic Dynamics. - Seong-Hyun Hong, Hyun-Sung Kim, Zian Jang, Byung-Jun Lee:
IC/DC: Surpassing Heuristic Solvers in Combinatorial Optimization with Diffusion Models. - Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li:
Mastering the Craft of Data Synthesis for CodeLLMs. - Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma:
Personality-Guided Code Generation Using Large Language Models. - Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann:
LARS: Light Augmented Reality System for Swarm. - Sota Takagi, Miki Saijo, Takumi Ohashi:
Consumer Segmentation and Participation Drivers in Community-Supported Agriculture: A Choice Experiment and PLS-SEM Approach. - J. M. Conejero, J. C. Preciado, A. E. Prieto, María C. Bas, Vicente J. Bolós:
Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS. - Ram Manohar, S. M. Mallikarjunaiah:
An hp-adaptive discontinuous Galerkin discretization of a static anti-plane shear crack model. - Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Jean Leneutre, Vadim Malvone, James Ortiz:
Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models. - Yibo Dong, Yu Chen, Jianwen Li, Geguang Pu, Ofer Strichman:
Revisiting Assumptions Ordering in CAR-Based Model Checking. - Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. - Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li:
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN. - Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. - Danrun Cao, Nicolas Béchet, Pierre-François Marteau:
WikiNER-fr-gold: A Gold-Standard NER Corpus. - Xinguo Yu, Weina Cheng, Chuanzhi Yang, Ting Zhang:
A Theoretical Review on Solving Algebra Problems. - Mikael Mortensen:
A faster multipole Legendre-Chebyshev transform. - Herman Lassche, Michiel Overeem, Ayushi Rastogi:
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot. - Mart Lubbers, Peter Achten:
Clean for Haskell Programmers. - Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler:
Topic-Conversation Relevance (TCR) Dataset and Benchmarks. - Yulong Wang, Chang Zuo, Yin Xuan, Hong Li, Ni Wei:
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models. - Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Parvez Zamil, Gollam Rabby, Md. Sadekur Rahman, Sören Auer:
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering. - Amogh Akella:
Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring. - Alex Kaltenbach, Michael Ruzicka:
Conditional quasi-optimal error estimate for a finite element discretization of the p-Navier-Stokes equations: The case p>2. - B. D. Lam, S. Ma, I. Kovalenko, P. Wang, O. Jafari, A. Li, S. Horng:
MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset. - Elena Kardanova, Alina Ivanova, Ksenia Tarasova, Taras Pashchenko, Aleksei Tikhoniuk, Elen Yusupova, Anatoly Kasprzhak, Yaroslav Kuzminov, Ekaterina Kruchinskaia, Irina Brun:
A Novel Psychometrics-Based Approach to Developing Professional Competency Benchmark for Large Language Models. - J. Harry Caufield, Carlo Kroll, Shawn T. O'Neil, Justin T. Reese, Marcin P. Joachimiak, Harshad Hegde, Nomi L. Harris, Madan Krishnamurthy, James A. McLaughlin, Damian Smedley, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
CurateGPT: A flexible language-model assisted biocuration tool. - Linda Feeken, Martin Fränzle:
Towards the Usage of Window Counting Constraints in the Synthesis of Reactive Systems to Reduce State Space Explosion. 53-69 - Albert Nössig, Tobias Hell, Georg Moser:
Rule by Rule: Learning with Confidence through Vocabulary Expansion. - Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam:
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. - Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. - Darian Rodriguez Vasquez, Afroditi Papadaki:
Generating Diverse Negations from Affirmative Sentences. - Akshay Rane, Kunalkumar Shelar:
Asymptotic expansions for approximate solutions of boundary integral equations. - Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Evolving Alignment via Asymmetric Self-Play. - Kangxiang Xia, Dake Guo, Jixun Yao, Liumeng Xue, Hanzhao Li, Shuai Wang, Zhao Guo, Lei Xie, Qingqing Zhang, Lei Luo, Minghui Dong, Peng Sun:
The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings. - Junming Duan, Wasilij Barsukow, Christian Klingenberg:
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation. - Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. - Quinten Norga, Suparna Kundu, Uttam Kumar Ojha, Anindya Ganguly, Angshuman Karmakar, Ingrid Verbauwhede:
Masking Gaussian Elimination at Arbitrary Order, with Application to Multivariate- and Code-Based PQC. - Mahesh Vaijainthymala Krishnamoorthy
:
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System. - Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai:
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation. - Lamine Diop, Marc Plantevit, Arnaud Soulet:
RPS: A Generic Reservoir Patterns Sampler. - Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Zachary Roch, Ramya Akula:
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse. - Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. - Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott:
Label Noise: Ignorance Is Bliss. - Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang:
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola:
Learning Visual Parkour from Generated Images. - Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John Subosits, Thomas Lew:
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Viviana Alejandra Diaz, Leandro Martin Salomone, Marcela Zuccalli:
Lagrangian neural networks for nonholonomic mechanics. - Wang Du-Yi, Liang Guo, Liu Guangwu, Zhang Kun:
Derivative-Free Optimization via Finite Difference Approximation: An Experimental Study. - Altera. AL, Andrew Ahn, Nic Becker, Stephanie Carroll, Nico Christie, Manuel Cortes, Arda Demirci, Melissa Du, Frankie Li, Shuying Luo, Peter Y. Wang, Mathew Willows, Feitong Yang, Guangyu Robert Yang:
Project Sid: Many-agent simulations toward AI civilization. - Shankara Narayanan Krishna, Khushraj Madnani, Agnipratim Nag, Paritosh K. Pandya:
Openness And Partial Adjacency In One Variable TPTL. - Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup:
Soft Condorcet Optimization for Ranking of General Agents. - Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao:
I Can Hear You: Selective Robust Training for Deepfake Audio Detection. - Berkay Kaplan:
Globalping: A Community-Driven, Open-Source Platform for Scalable, Real-Time Network Measurements. - Thomas Crasson, Yacine Nabet, Mathias Lécuyer:
Training and Evaluating Causal Forecasting Models for Time-Series. - David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen:
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - John Whitington:
Two Dimensional Hidden Surface Removal with Frame-to-frame Coherence. - Tang Li, Mengmeng Ma, Xi Peng:
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales. - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Constrained Fair and Efficient Allocations. - Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath:
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Sapphira Akins, Hans Mertens, Frances Zhu:
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration. - Ricardo Valadas, Maximilian Stölzle, Jingyue Liu, Cosimo Della Santina:
Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control. - Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras:
Learning local discrete features in explainable-by-design convolutional neural networks. - Sanaz Mahmoodi Takaghaj:
ViT-LCA: A Neuromorphic Approach for Vision Transformers. - Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. - Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann:
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. - Chunyan Mu, Muhammad Najib, Nir Oren:
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems. - Charles Westphal, Stephen Hailes, Mirco Musolesi:
Mutual Information Preserving Neural Network Pruning. - Michael Köhler-Bussmeier, Lorenzo Capra:
A "Symbolic" Representation of Object-Nets (Extended Version). - Christopher Richardson, Roshan Sharma, Neeraj Gaur, Parisa Haghani, Anirudh Sundar, Bhuvana Ramabhadran:
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking. - Nursena Köprücü, Destiny Okpekpe, Antonio Orvieto:
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs. - Antonio Almudévar, Romain Serizel, Alfonso Ortega:
Angular Distance Distribution Loss for Audio Classification. - Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh:
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. - Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen:
Unlocking the Potential of Global Human Expertise. - Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida:
Using Deep Neural Networks to Quantify Parking Dwell Time. - Catalina Rus-Casas, Carlos Gilabert-Torres, Juan Ignacio Fernandez-Carrasco:
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution. - Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Mohammad Farazi, Yalin Wang:
A Recipe for Geometry-Aware 3D Mesh Transformers. - Yue Fu, Han Bin, Tony Zhou, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Jacob O. Wobbrock, Alexis Hiniker:
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking. - Ibne Hassan, Aman Mujahid, Abdullah Al Hasib, Andalib Rahman Shagoto, Joyanta Jyoti Mondal, Meem Arafat Manab, Jannatun Noor:
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia. - Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay:
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. - Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng:
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey. - John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. - Pranav Singh Chib, Pravendra Singh:
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. - Panagiota Gatoula, Dimitrios E. Diamantis, Anastasios Koulaouzidis, Cristina Carretero, Stefania Chetcuti-Zammit, Pablo Cortegoso Valdivia, Begoña González-Suárez, Alessandro Mussetto, John Plevris, Alexander Robertson, Bruno Rosa, Ervin Toth, Dimitris K. Iakovidis:
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy. - Mark Díaz, Angela DR Smith:
What Makes An Expert? Reviewing How ML Researchers Define "Expert". - Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey:
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. - Curtis Bechtel, Shaddin Dughmi:
Efficient Multi-Agent Delegated Search. - Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada:
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. - Tempest A. van Schaik, Xinggang Liu, Louis Atallah, Omar Badawi:
Monitoring fairness in machine learning models that predict patient mortality in the ICU. - Ce Zhou, Qiben Yan, Daniel Kent, Guangjing Wang, Weikang Ding, Ziqi Zhang, Hayder Radha:
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving. - Marek Kirejczyk, Maciej Kalka, Leonid Logvinov:
Historical and Multichain Storage Proofs. - Aris J. Aristorenas:
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering. - Brody McNutt, Libby Zhang, Angus Carey-Douglas, Fritz Vollrath, Frank Pope, Leandra L. Brickson:
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis. - James Li, Noam Zilberstein, Alexandra Silva:
Total Outcome Logic: Proving Termination and Nontermination in Programs with Branching. - Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. - Nassim Oufattole, Teya S. Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nidhal Jegham, Chan Young Koh, Marwan F. Abdelatti, Abdeltawab M. Hendawi:
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors. - Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander:
RESTOR: Knowledge Recovery through Machine Unlearning. - Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning. - Luc Jonveaux:
Using Large Language Models for a standard assessment mapping for sustainable communities. - Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu Thiruvasagam, Hong-Fu Chou, Duc-Dung Tran, Luis M. Garces-Socarras, Jorge L. Gonzalez-Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas:
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification. - Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Scale-Aware Recognition in Satellite Images under Resource Constraint. - Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy, Hung Le, Marcin Pilipczuk, Michal Pilipczuk:
Embedding Planar Graphs into Graphs of Treewidth O(log3 n). - Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. - Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu, Yahav Avigal, Jeffrey Ichnowski, Ken Goldberg:
BOMP: Bin-Optimized Motion Planning. - Ehsan Ganjidoost, Jeff Orchard:
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. - Sara Honarvar, Yancy Diaz-Mercado:
Learning Optimal Interaction Weights in Multi-Agents Systems. - Gholamreza Davarpanah, Sajjad Mohammadi:
A New Switched Reluctance Motor with Embedded Permanent Magnets for Transportation Electrification. - Johanna Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman:
Fashion-VDM: Video Diffusion Model for Virtual Try-On. - José Ignacio Olalde-Verano, Sascha Kirch, Clara María Pérez Molina, Sergio Martín:
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models. - Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Shaohua Liu, Junzhe Lu, Zuoya Gu, Jiajun Li, Yue Deng:
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. - Bill Fan, Jacob Roulier, Gina Olson:
A Fast and Model Based Approach for Evaluating Task-Competence of Antagonistic Continuum Arms. - Gustavo Arengas:
Certified binary search tree on W-types. - Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello:
ResiDual Transformer Alignment with Spectral Decomposition. - Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. - Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez,