4 papers
SourceBench: Can AI Answers Reference Quality Web Sources?
Hexi Jin, Stephen Liu, Yuheng Li +2
Large language models (LLMs) increasingly answer queries by citing web sources, but existing evaluations emphasize answer correctness rather than evidence quality. We introduce Sou…
ReBeCA: Causality-Inspired Behavior Analysis for Understanding the Self-Reflection of Language Models
Tianqiang Yan, Lizhen Qu, Sihan Shang +6
Self-reflection is a basic self-improvement skill of language agents, yet it does not reliably improve their outputs, where the underlying behavioral mechanism remains opaque. We i…
Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression
Te Zhang, Yuheng Li, Junxiang Wang +1
Large multimodal models (LMMs) have advanced significantly by integrating visual encoders with extensive language models, enabling robust reasoning capabilities. However, compressi…
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
Yuheng Li, Panpan Wang, Haipeng Chen
There have been extensive studies on learning in zero-sum games, focusing on the analysis of the existence and algorithmic convergence of Nash equilibrium (NE). Existing studies ma…