Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
arXiv:2605.09009v1 Announce Type: cross
Abstract: Large language models (LLMs) have shown remarkable in-context learning (ICL) capabilities, yet their potential for sequential decision-making remains underexplored. In this paper, we study the ICL capa…