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Ying Shen

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Preprint Aug 2026

Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-Training

TrajVal, a lightweight probe-based estimator that approximates per-task learnability from a short probe run and two endpoint evaluations, is proposed and it is found that learnability is reproducible across independently sampled training contexts and predictive of downstream utility.

Ting Zhou, Zhenqing Ling, Daoyuan Chen et al. · 0 citations
Conference Open access 2026

Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations

The Invo-cation Refiner is introduced, a specialized post-processing module designed to enhance the tool-use reliability of base LLMs without directly training on them, and is highlighted as a plug-and-play solution for improving the operational reliability of LLM-based agents.

Qirui Jiao, Dian Jiao, Nan Du et al. · 0 citations