Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
First page
Paper summary
A framework inferring tool sequences for compositional reasoning.
Ask this paper
01
Tool composition: LLM plans sequences of tools (Python, search, calculator, knowledge retrievers) to solve complex problems.
02
SOTA on ScienceQA: Achieves 87% accuracy on ScienceQA and 99% on TabMWP - surpassing prior specialized models.
03
Plug-and-play design: Tools can be added/removed flexibly without retraining the LLM.
04
Agent framework precursor: Influential in the agent/tool-use research direction leading to 2024 agent frameworks.