Papers
20,003 papers found
BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering
Zhiqi Huang, Huanjia Zhu, Xiangwen Deng et al.
BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition
Weijia Fan, Qiufu Li, Jiajun Wen et al.
BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction
Zhengsen Xu, Sibo Cheng, Lanying Wang et al.
BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
Mingkai Miao, Jianheng Tang, Guangyu Hu et al.
BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract)
Tianzi Ma, Yulin Wu, Hang Ren et al.
BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion
Yuanda Wang, Ji Zhou, Xinhui Han et al.
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
DoYoung Kim, Jin-Seop Lee, Noo-ri Kim et al.
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
Aditya Kumar, Tom Blanchard, Adam Dziedzic et al.
BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation
Zhengxian Wu, Juan Wen, Wanli Peng et al.
BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
Yuhao Wang, Ruiyang Ren, Yucheng Wang et al.
Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students
Erfan Farhadi, Kenneth Fei, Yifan Jiang et al.
Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract)
Ryusei Otani, Keichi Namikoshi, Yuko Sakurai et al.
Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning
Yulong Xia, Fuchun Sun
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
Xinshun Feng, Mingzhe Liu, Yi Qiao et al.
Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning
Alex W. Goodall, Edwin Hamel-De Le Court, Francesco Belardinelli
Belief-Driven Value Alignment for Human-Robot Collaboration
Saisai Li, Bing Shi, Yiming Xia et al.
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
Zijie Xu, Wenjun Ke, Peng Wang et al.
Benchmarking LLMs for Political Science: A United Nations Perspective
Yueqing Liang, Liangwei Yang, Chen Wang et al.
Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions
Zijin Hong, Hao Wu, Su Dong et al.
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
Yifan Jia, Yuntao Du, Kailin Jiang et al.
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding
Youze Wang, Zijun Chen, Ruoyu Chen et al.
Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents
Davide Napolitano, Luca Cagliero, Fabrizio Battiloro
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier et al.
Best Arm Identification with Biased Contexts
James Cheshire, Stephan Clémençon