Papers
20,003 papers found
AV-SSAN: Audio-Visual Selective DOA Estimation Through Explicit Multi-Band Semantic-Spatial Alignment
Yu Chen, Hongxu Zhu, Jiadong Wang et al.
Aware Distillation for Robust Vision-Language Tracking Under Linguistic Sparsity
Guangtong Zhang, Bineng Zhong, Shirui Yang et al.
Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Significant Gains in Reasoning Efficiency in Large Language Models
Qiguang Chen, Dengyun Peng, Jinhao Liu et al.
Axis-Aligned Document Dewarping
Chaoyun Wang, I-Chao Shen, Takeo Igarashi et al.
AXON: Action Characterization Through Cross-Modal Knowledge Distillation for Neurodiverse Individuals
Siddhant Bikram Shah, Kristina T. Johnson
Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning
Ankita Raj, Chetan Arora
Backdooring Rationalization
Lingxiao Kong, Jiahui Jiang, Wenchao Xu et al.
Backtrace Mamba: Reviving Critical Temporal Contexts via Hierarchical Memory Compression for Online Action Detection
Su Yan, Jiahua Li, Kun Wei et al.
BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models
Shuaitong Liu, Renjue Li, Lijia Yu et al.
BAG: Benchmarking Anomaly Detection on Dynamic Graphs
Fengrui Hua, Yiyan Qi, Zikai Wei et al.
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
Jiajun Liu, Yao He, Wenjun Ke et al.
Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production
Junhua Liu, Yong Keat Tan, Bin Fu et al.
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Hongzhao Li, Guohao Shen, Shupan Li et al.
Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course
Xinyue Chen, Sharon Jessica, Xu Wang et al.
Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models
Hongyin Zhang, Shiyuan Zhang, Junxi Jin et al.
BAMAS: Structuring Budget-Aware Multi-Agent Systems
Liming Yang, Junyu Luo, Xuanzhe Liu et al.
Bandit Learning in Housing Markets
Shiyun Lin
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov, Daniil Medyakov, Sergey Skorik et al.
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
Catherine Villeneuve, Benjamin Akera, Mélisande Teng et al.
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation
Gangwei Xu, Haotong Lin, Zhaoxing Zhang et al.
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
Hengguan Huang, Xing Shen, Guang-Yuan Hao et al.
Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
Ashley Klein, Edward Raff, Marcia DesJardin
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
Pablo Torrijos, Jose M. Puerta, Juan A. Aledo et al.
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
Guoxi Huang, Qirui Yang, Ruirui Lin et al.
Bayes-Optimal Fair Classification with Multiple Sensitive Features
Yi Yang, Yinghui Huang, Xiangyu Chang