Papers
176,624 papers found
Better Process Supervision with Bi-directional Rewarding Signals
Wenxiang Chen, Wei He, Zhiheng Xi et al.
Better Red Teaming via Searching with Large Language Model
Yongkang Chen, Chongyang Zhao, Jianwen Tian et al.
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models
David Kletz, Sandra Mitrovic, Ljiljana Dolamic et al.
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models
David Kletz, Sandra Mitrovic, Ljiljana Dolamic et al.
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis
Furong Ye, Chuan Luo, Shaowei Cai
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Michael Y. Hu, Jackson Petty, Chuan Shi et al.
Between the Drafts: An Evaluation Framework for Identifying Quality Improvement and Stylistic Differences in Scientific Texts
Danqing Chen, Ingo Weber, Felix Dietrich
Between the Drafts: An Evaluation Framework for Identifying Quality Improvement and Stylistic Differences in Scientific Texts
Danqing Chen, Ingo Weber, Felix Dietrich
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
Xin Ye, Burhaneddin Yaman, Sheng Cheng et al.
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
Wentao Wang, Jiaqian Wang, Yuxin Deng et al.
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
Yuxiang Yang, Yingqi Deng, Mian Pan et al.
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving
Tao Tang, Dafeng Wei, Zhengyu Jia et al.
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
Weixiang Zhao, Yulin Hu, Yang Deng et al.
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality
Qitong Wang, Tang Li, Kien X. Nguyen et al.
Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models
Zahra Delbari, Mohammad Taher Pilehvar
Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models
Zahra Delbari, Mohammad Taher Pilehvar
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
Haotian Dong, Jingyan Jiang, Rongwei Lu et al.
Beyond Averages: Learning with Annotator Disagreement in STS
Alejandro Benito-Santos, Adrian Ghajari
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Hongmei Yin, Tingliang Feng, Fan Lyu et al.
Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization
Frederick Riemenschneider
Beyond Benchmarks: Building a Richer Cross-Document Event Coreference Dataset with Decontextualization
Jin Zhao, Jingxuan Tu, Bingyang Ye et al.
Beyond Binary Animacy: A Multi-Method Investigation of LMs’ Sensitivity in English Object Relative Clauses
Yue Li, Yan Cong, Elaine J. Francis
Beyond Binary Preferences: Semi-Online Label-Free GRACE-KTO with Group-Wise Adaptive Calibration for High-Quality Long-Text Generation
Jingyang Deng, Ran Chen, Jo-Ku Cheng et al.
Beyond Blur: A Fluid Perspective on Generative Diffusion Models
Grzegorz Gruszczynski, Jakub Meixner, Michal Wlodarczyk et al.