2 papers
cs.CL2026
LexKairos: Benchmarking Legal Temporal Capabilities in LLMs
Chenyang Li, Zejia Feng, Yuqin Huang +2
Large language models (LLMs) have demonstrated strong performance across a wide range of legal tasks. In legal practice, time is a critical concept that governs the validity of sta…
cs.CL2026
GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation
Yuxiao Ye, Yiwen Zhang, Huiyuan Xie +2
LLM-based multi-agent systems are increasingly used for strategic decision-making tasks. In such settings, performance depends not only on individual model capabilities, but also o…