Papers
CrystalICL: Enabling In-Context Learning for Crystal Generation
Ruobing Wang, Qiaoyu Tan, Yili Wang et al.
Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning
Haijiang Liu, Qiyuan Li, Chao Gao et al.
STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
Kai Chen, Zihao He, Taiwei Shi et al.
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
Gabriele Sarti, Vilém Zouhar, Malvina Nissim et al.
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
Kaikai An, Fangkai Yang, Liqun Li et al.
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory
Ming Li, Nan Zhang, Chenrui Fan et al.
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
Cheryl Lee, Chunqiu Steven Xia, Longji Yang et al.
UI-Hawk: Unleashing the Screen Stream Understanding for Mobile GUI Agents
Jiwen Zhang, Ya-Qi Yu, Minghui Liao et al.
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
Eugene Jang, Kimin Lee, Jin-Woo Chung et al.
Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models
Mingxuan Xia, Zhijie Jiang, Haobo Wang et al.
Evaluating and Aligning Human Economic Risk Preferences in LLMs
Jiaxin Liu, Yixuan Tang, Yi Yang et al.
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Yunkai Dang, Mengxi Gao, Yibo Yan et al.
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference
Hua Cai, Shuang Zhao, Liang Zhang et al.
Language Models as Continuous Self-Evolving Data Engineers
Peidong Wang, Ming Wang, Zhiming Ma et al.
Iterative Prompt Refinement for Safer Text-to-Image Generation
Jinwoo Jeon, JunHyeok Oh, Hayeong Lee et al.
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
Farid Adilazuarda, Chen Cecilia Liu, Iryna Gurevych et al.
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
Jinglin Chen, Qiwei Li, Zuchao Li et al.
AI Sees Your Location—But With A Bias Toward The Wealthy World
Jingyuan Huang, Jen-tse Huang, Ziyi Liu et al.
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
Jen-tse Huang, Jiantong Qin, Jianping Zhang et al.
Reliable Evaluation and Benchmarks for Statement Autoformalization
Auguste Poiroux, Gail Weiss, Viktor Kunčak et al.
SQUAB: Evaluating LLM robustness to Ambiguous and Unanswerable Questions in Semantic Parsing
Simone Papicchio, Luca Cagliero, Paolo Papotti
VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
Xin Liu, Lechen Zhang, Sheza Munir et al.