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Ming-Hui Chen

2 papers indexed here

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#artificial intelligence Preprint Oct 2026

Seq@K: Evaluating Language Models Under Sequential Feedback

This work introduces Seq@K, a natural evaluation protocol that measures whether a model can solve a problem within K sequential attempts, provided feedback after each previous failure, and establishes how Seq@K offers a more faithful metric for intelligent systems that typically operate in such feedback loop, and the n...

Thomson Yen, Gilbert Yang, Nai-Meng Ye et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Self-Evolving Agents via Likelihood-Guided Tool-Space Optimization

This work introduces LOTS (Likelihood-Only Tool Scoring), which evolves an agent's tool space from accumulated output experience while keeping model parameters fixed and demonstrates that task-specific spaces persist and continue to improve over time, while cross-model experiments show that learned configurations trans...

Xuanqi Zhang, Rui-Nan Jin, Run Yang et al. · 0 citations

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