Core Concepts
LLMs를 계획 프레임워크에 효과적으로 임베딩하여 문제 해결 능력을 향상시킴.
Abstract
계획 합성은 초기 상태에서 목표 상태로의 행동이나 정책 생성을 목표로 함.
LLMs의 계획 능력에 대한 연구가 증가하고 있음.
LLMs를 계획 프레임워크에 임베딩하여 효과적인 계획을 제시함.
실험 결과를 통해 LLMs4Plan의 효과적인 성능을 입증함.
LLMs를 활용한 계획에 대한 미래 연구 방향을 제시함.
Stats
Plan synthesis aims to generate a course of actions or policies to transit given initial states to goal states.
LLMs can indeed provide some helpful information for planning.
LLMs are capable of helping select only a few candidate sets to be backtracked.
Quotes
"Inspired by the result of loosely using plans generated by LLMs as seed plans, we are curious if it is possible to 'dig' more helpful information from LLMs to assist planning deeply."
"LLMs can indeed provide some helpful information (e.g., in some sense of heuristics) for planning, even though they cannot solve planning problems solely."