Papers
Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
Shiqi He, Yue Cui, Xinyu Ma et al.
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Ziwei Liu, Borui Kang, Wei Li et al.
BrandFusion: Aligning Image Generation with Brand Styles
Parul Gupta, Varun Khurana, Yaman Kumar Singla 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
brat: Aligned Multi-View Embeddings for Brain MRI Analysis
Maxime Kayser, Maksim Gridnev, Wanting Wang et al.
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Runpeng Dai, Run Yang, Fan Zhou et al.
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.
Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
Shun Zou, Yong Wang, Zehui Chen et al.
Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents
Tianyi Ma, Yue Zhang, Zehao Wang et al.
Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation
Leqi Zhang, Wayne Lu, Haiyang Zhang et al.
Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction
Gang Qu, Ping Wang, Siming Zheng et al.
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space
Cheng Yan, Wuyang Zhang, Zhiyuan Ning et al.
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
Chuancheng Song, Hanyang Shen, Yan Dong et al.
Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective
Zeyu Wang, Jiayu Wang, Haiyu Song
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
Jundong Chen, Honglei Zhang, Chunxu Zhang et al.
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
Joao Mattos, Debolina Halder Lina, Arlei Silva
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
Xiao Pu, Zepeng Cheng, Lin Yuan et al.
Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought
Dzmitry Pihulski, Mikołaj Langner, Jan Eliasz et al.
Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
Minzheng Wang, Run Luo, Yanbo Wang et al.
Breaking the Memory Barrier: Efficient Multi-Class 3D Segmentation for Hundreds of Classes
Olivier Jaubert, William Traynor, Shadia Mikhael et al.