Papers
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui, Ziyang Zhang, Guangzhi Sun et al.
BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios
Wei Li, Lujun Li, Mark G. Lee et al.
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images
Yuanye Liu, Ruoxuan Zhen, Shangqi Gao et al.
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
Marco Miani, Hrittik Roy, Søren Hauberg
BBN-U.Oregon’s ALERT system at GenAI Content Detection Task 3: Robust Authorship Style Representations for Cross-Domain Machine-Generated Text Detection
Hemanth Kandula, Chak Fai Li, Haoling Qiu et al.
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
Latofat Bobojonova, Arofat Akhundjanova, Phil Sidney Ostheimer et al.
BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin et al.
bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models
Rishit Tyagi, Rahul Bouri, Mohit Gupta
bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models
Rishit Tyagi, Rahul Bouri, Mohit Gupta
BCE vs. CE in Deep Feature Learning
Qiufu Li, Huibin Xiao, Linlin Shen
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion
Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei
BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement
Qian Li, Feng Liu, Shuojue Yang et al.
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho et al.
BDA-UC3M @ BioLaySumm: Efficient Lay Summarization with Small-Scale SoTA LLMs
Ilyass Ramzi, Isabel Bedmar
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
Fei Long, Xiaoou Li, Jiaming Lv et al.
Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
Kuheli Pratihar, Debdeep Mukhopadhyay
bea-jh at BEA 2025 Shared Task: Evaluating AI-powered Tutors through Pedagogically-Informed Reasoning
Jihyeon Roh, Jinhyun Bang
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Huayi Wang, Zirui Wang, Junli Ren et al.
BeamLoRA: Beam-Constraint Low-Rank Adaptation
Naibin Gu, Zhenyu Zhang, Xiyu Liu et al.
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
Haotian Peng, Jiawei Liu, Jinsong Du et al.
BeautyBank: Encoding Facial Makeup in Latent Space
Qianwen Lu, Xingchao Yang, Takafumi Taketomi
BeaverTalk: Oregon State University’s IWSLT 2025 Simultaneous Speech Translation System
Matthew Raffel, Victor Agostinelli III, Lizhong Chen
BECAME: Bayesian Continual Learning with Adaptive Model Merging
Mei Li, Yuxiang Lu, Qinyan Dai et al.