Papers
176,624 papers found
Barrier Breakers at BLP-2025 Task 2: Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
Sajed Jalil, Shuvo Saha, Hossain Mohammad Seym
Barrier Breakers at BLP-2025 Task 2: Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
Sajed Jalil, Shuvo Saha, Hossain Mohammad Seym
BARTABSA++: Revisiting BARTABSA with Decoder LLMs
Jan Pfister, Tom Völker, Anton Vlasjuk et al.
BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
Shreya Saha, Zekai Liang, Shan Lin et al.
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
Zhihao Gong, Lian Wu, Yong Xu
BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models
Jianting Tang, Yubo Wang, Haoyu Cao et al.
Basic Reading Distillation
Zhi Zhou, Sirui Miao, Xiangyu Duan et al.
Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols
Tony Nuda Zhang, Keshav Singh, Tej Chajed et al.
BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
Yulu Pan, Ce Zhang, Gedas Bertasius
BasqBBQ: A QA Benchmark for Assessing Social Biases in LLMs for Basque, a Low-Resource Language
Muitze Zulaika, Xabier Saralegi
Batayan: A Filipino NLP benchmark for evaluating Large Language Models
Jann Railey Montalan, Jimson Paulo Layacan, David Demitri Africa et al.
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
Anton Korikov, Pan Du, Scott Sanner et al.
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Asaf Cassel, Orin Levy, Yishay Mansour
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
Ao Zhou, Bin Liu, Jin Wang et al.
Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development
Ko Yoshida, Daiki Shiono, Kai Sato et al.
BATCLIP: Bimodal Online Test-Time Adaptation for CLIP
Sarthak Maharana, Baoming Zhang, Leonid Karlinsky et al.
Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues
Haiyang Wang, Zhiliang Tian, Yuchen Pan et al.
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models
Shahnewaz Karim Sakib, Anindya Bijoy Das, Shibbir Ahmed
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok et al.
Bayelemabaga: Creating Resources for Bambara NLP
Allahsera Auguste Tapo, Kevin Assogba, Christopher M Homan et al.
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale
Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.
Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization
Isu Jeong, Seulki Lee
Bayesian Data Sketching for Varying Coefficient Regression Models
Rajarshi Guhaniyogi, Laura Baracaldo, Sudipto Banerjee
Bayesian-Inspired Space-Time Superpixels
Kent Gauen, Stanley Chan
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo et al.