Author

Zheng-Yan Shi

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#artificial intelligence Preprint Sep 2026

Shockingly Simple Self-retrospection Improves Agentic Models Without RL

People learn not only by repeating successful actions, but also by recounting and explaining their experiences, revising their understanding to guide future behavior. Can a language-model agent improve its future actions by training only on explanations of its own experience? We investigate this question by studying Re...

Jonathan Light, C. Cui, Jeonghye Kim et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks

ProgramDistill is introduced, a benchmark evaluating coding agents on features discovered through interaction with fully functional reference applications, and provides a scalable benchmark with controlled difficulty for evaluating and diagnosing coding agents, and a natural basis for future curriculum-based training.

Jeonghye Kim, Minseon Kim, Young Jin Kim et al. · 0 citations