most citedHammer: Robust Function-Calling for On-Device Language Models via Function Masking

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cs.AI2026

SkillEvoReg: Regularizing Agent Skill Evolution Against Overfitting

Guanyu Nie, Fangzhou Zhu, Shixiong Kai +3

Language-model agents increasingly improve by converting execution experience into reusable external skills. Yet repeated skill updates form a learning process of their own: locall…

cs.AI2026

ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?

Jiajun Li, Mingshu Cai, Yixuan Li +5

Large language models are increasingly deployed as autonomous agents for multi-step tasks in executable environments, yet their ability to perform realistic operations research (OR…