NeSyFS: A Neuro-symbolic fast-slow thinking framework for LLM agent under partial observability
Read the original at arxiv.org→arXiv:2607.28942v1 Announce Type: new Abstract: Recently Large Language Models (LLMs) have been increasingly deployed as autonomous agents in applications such as self-reflection, retrieval-augmented generation, and...
Original headline: "NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability"
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- Aug 3, 04:00 UTC arXiv cs.AI lead source NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability