Papers
BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching
Yachuan Huang, Xianrui Luo, Qiwen Wang et al.
Bolster Hallucination Detection via Prompt-Guided Data Augmentation
Wenyun Li, Zheng Zhang, Dongmei Jiang et al.
Bonsai: Interpretable Tree-Adaptive Grounded Reasoning
Kate Sanders, Benjamin Van Durme
Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
Jun Sun, Xinxin Zhang, Simin Hong et al.
Boosting Adversarial Transferability via Ensemble Non-Attention
Yipeng Zou, Qin Liu, Jie Wu et al.
Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards
Linghan Fang, Tianxin Xie, Li Liu
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei, Kaiwen Zhou, Yinchuan Li et al.
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang et al.
Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification
Yu Wang, Fengxia Han, Jianyu Wang
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
Liang Hou, Cong Liu, Mingwu Zheng et al.
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
Jihang Wang, Dongcheng Zhao, Ruolin Chen et al.
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano et al.
Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving
Sandra Roach, Karis Boyd-Sinkler, Visrut Sudhakar et al.
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
Shiyan Zheng, Herun Wan, Minnan Luo et al.
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
Jiajun Ma, Yongchao Zhang, Chao Zhang et al.
BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex
Tan Gao, Mufan Xue, Haofang Zheng et al.
Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors
Zifeng Liu, Hai Li, Jie Chao et al.
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Ziwei Liu, Borui Kang, Wei Li et al.
BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition
Yifan Wang, Der-Horng Lee, Bruce X.B. Yu
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions
Daniel Platnick, Dawson Tomasz, Eamon Earl et al.
Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila et al.
Breaking Alignment Barriers: TPS-Driven Semantic Correlation Learning for Alignment-Free RGB-T Salient Object Detection
Lupiao Hu, Fasheng Wang, Fangmei Chen et al.
Breaking Barriers, Finding Boundaries: Not Obviously Manipulable Budget-Feasible Mechanism Design
Bart de Keijzer, Guido Schäfer, Artem Tsikiridis et al.