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Yan-Ting Yang

2 papers indexed here

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#machine learning Preprint Sep 2026

Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents

SPACE induces two-level programmatic skills from successful trajectories, where subskill boundaries serve as direct chunk-boundary supervision from trajectory-induced programmatic skills, and distilled into a primitive-chunk policy via hybrid on-/off-policy optimization.

Yan-Ting Yang, Can Jin, Jin-Man Zhao et al. · 2 citations
#artificial intelligence Preprint Mar 2026

Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

This work proposes HIVE (History-Informed and online-VErified prompt selection), a dual-stage framework for data-efficient RL that utilizes historical reward trajectories for coarse selection and employs prompt entropy as a real-time proxy to prune instances with stale utility.

Jiahao Wu, Ning Lu, Sheng-Cai Liu et al. · 12 citations

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