All Papers
34,598 papers found • Page 41 of 692
Conference
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan, Penghang Yu, Zhiyi Tan et al.
Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
Long Ma, Fangwei Zhong, Yizhou Wang
Behavioral and Symbolic Fillers as Delay Mitigation for Embodied Conversational Agents in Virtual Reality
Denmar Mojan Gonzales, Snehanjali Kalamkar, Sophie Jörg et al.
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda
Behavioral Exploration: Learning to Explore via In-Context Adaptation
Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge, Xin Wang, Ziwei Zhang et al.
Behavior Injection: Preparing Language Models for Reinforcement Learning
Zhepeng Cen, Yihang Yao, William Han et al.
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao et al.
Behaviour Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan, William Knottenbelt
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.
BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation
Zibo Zhou, Yue Hu, Lingkai Zhang et al.
Believing is Seeing: Unobserved Object Detection using Generative Models
Subhransu S. Bhattacharjee, Dylan Campbell, Rahul Shome
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho, Seungyub Han, Seokhun Ju et al.
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
Parham Rezaei, Farzan Farnia, Cheuk Ting Li
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Adrian Corneanu, Qianli Feng et al.
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
Anna Sokol, Elizabeth Daly, Michael Hind et al.
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
Qingchuan Ma, Yuhang Wu, Xiawu Zheng et al.
Benchmarking Agentic Workflow Generation
Shuofei Qiao, Runnan Fang, Zhisong Qiu et al.
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation
Yujie Zhang, Bingyang Cui, Qi Yang et al.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
Benchmarking Burst Super-Resolution for Polarization Images: Noise Dataset and Analysis
Inseung Hwang, Kiseok Choi, Hyunho Ha et al.
Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.
Benchmarking Egocentric Visual-Inertial SLAM at City Scale
Anusha Krishnan, Shaohui Liu, Paul-Edouard Sarlin et al.
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
Zhihai Wang, Zijie Geng, Zhaojie Tu et al.
Benchmarking Large Language Models with Integer Sequence Generation Tasks
Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
Fan Lu, Wei Wu, Kecheng Zheng et al.
Benchmarking LLMs' Judgments with No Gold Standard
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck et al.
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program
Minghe Gao, Xuqi Liu, Zhongqi Yue et al.
Benchmarking Multimodal Large Language Models Against Image Corruptions
Xinkuan Qiu, Meina Kan, Yongbin Zhou et al.
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
Yangning Li, Yinghui Li, Xinyu Wang et al.
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara Al-Emadi, Yin Yang, Ferda Ofli
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn et al.
Benchmarking Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, George Yammine et al.
Benchmarking Retrieval-Augmented Generation for Chemistry
Xianrui Zhong, Bowen Jin, Siru Ouyang et al.
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
Kuicai Dong, CHANG YUJING, Shijie Huang et al.
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
Pengrui Quan, Brian Wang, Kang Yang et al.
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang et al.
Benefit From Seen: Enhancing Open-Vocabulary Object Detection by Bridging Visual and Textual Co-Occurrence Knowledge
Yanqi Li, Jianwei Niu, Tao Ren
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
Jingfeng Wu, Peter Bartlett, Matus Telgarsky et al.
Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
Jiandong Shao, Yao Lu, Jianfei Yang
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang, Jiayun Wu, Jianqing Fan et al.
Benign Overfitting in Single-Head Attention
Roey Magen, Shuning Shang, Zhiwei Xu et al.
Benign Overfitting in Token Selection of Attention Mechanism
Keitaro Sakamoto, Issei Sato
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
Zihan Guan, Mengxuan Hu, Ronghang Zhu et al.
BenTo: Benchmark Reduction with In-Context Transferability
Hongyu Zhao, Ming Li, Lichao Sun et al.
Bernstein–von Mises for Adaptively Collected Data
Kevin Du, Yash Nair, Lucas Janson
BERT-Based Code Learning for Exception Localization and Type Prediction
Chongyu Zhang, Qiping Tao, Liangyu Chen et al.
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz, Ali Parviz, Mahdi Karami et al.
Best of Both Worlds: Regret Minimization versus Minimax Play
Adrian Müller, Jon Schneider, EFSTRATIOS PANTELEIMON SKOULAKIS et al.
Best-of-N Jailbreaking
John Hughes, Sara Price, Aengus Lynch et al.