Papers
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 List-Decodable Linear Regression via Higher Moments
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi, Diana Cai, Lawrence K. Saul
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.
BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation
Lian Liu, Xiandong Zhao, Guanchen Li et al.
BaxBench: Can LLMs Generate Correct and Secure Backends?
Mark Vero, Niels Mündler, Victor Chibotaru 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 Active Learning for Bivariate Causal Discovery
Yuxuan Wang, Mingzhou Liu, Xinwei Sun et al.
Bayesian Analysis of Combinatorial Gaussian Process Bandits
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
Mehmet Yiğit Balık, Maksim Sinelnikov, Priscilla Ong et al.
Bayesian Circular Regression with von Mises Quasi-Processes
Yarden Cohen, Alexandre Khae Wu Navarro, Jes Frellsen 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 Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
Yuta Nakahara, Shota Saito, Naoki Ichijo et al.
Bayesian Experimental Design Via Contrastive Diffusions
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.
Bayesian Gaussian Process ODEs via Double Normalizing Flows
JIAN XU, Shian Du, Junmei Yang et al.
Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
Yuliang Xu, Jian Kang