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cs.AI2026
SkillMentor: LLM Agent Self-Evolution via Learning Blind-Spot Diagnosis
Xiaoyi Bao, Yuanzhen Xie, Yunzhi Tan +5
Agent self-evolution has primarily focused on learning how to act, while overlooking an equally important capability: learning to discover what an agent does not know. Existing app…
cs.CL2026
ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm
Pei Guo, Enjie Liu, Yunzhi Tan +6
Table-based reasoning with large language models (LLMs), which requires reasoning based on natural language questions and structured tabular data, has gained widespread attention.…