MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration

Guokai Tang; Feng Zhao

AAAI 2026technical0 citations

MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration

Abstract

Small language models (SLMs) run quickly, consume little memory, and can be deployed on edge devices, making them especially appealing when compute or energy is limited. Because of these advantages, boosting SLMs

BibTeX

@inproceedings{aaai2026_macotsynthesizin,
  title = {MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration},
  author = {Guokai Tang and Feng Zhao},
  booktitle = {AAAI 2026},
  year = {2026}
}