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Jeongyeol Kwon

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#artificial intelligence Preprint Oct 2026

Training Small Language Models for Transferable Tool Selection

As LLM agents operate over corpora of more than ten thousand tools, selecting the right tool for a complex multi-step user instruction becomes a central bottleneck. Tool descriptions cannot all fit in context, and relevance-based retrievers only rank tools without knowing which are actually needed. Recent work instead...

Zhao-Yi Zhou, Akshayaa Magesh, Jeongyeol Kwon et al. · 0 citations
#machine learning Preprint Aug 2026

Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations

A mean-field RL framework is introduced in which the rewards and transition dynamics depend on the population only through an unknown low-dimensional aggregate statistic, and it is shown that under a fixed neural-network parameter count and optimization budget, learning a low-dimensional population representation impro...

Aditya Makkar, B. Unger, Jeongyeol Kwon et al. · 0 citations

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