Author

Nai-Meng Ye

2 papers indexed here

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#artificial intelligence Jun 2026

LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure

LatentGym is introduced: a controllable suite in which each environment is organized around a ground-truth latent variable governing the structure across tasks, and a controlled foundation for studying how LLM agents learn from experience across tasks, and for designing agents that adapt more reliably in sequential, pe...

Daksh Mittal, Tommaso Castellani, Thomson Yen et al. · arXiv.org · 2 citations

#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