Agent Instructs Large Language Models to be General Zero-Shot Reasoners

Nicholas Crispino, Kyle Montgomery, Fankun Zeng, D. Song, Chenguang Wang
2/12/2026

No official code found. Best implementation: wang-research-lab/agentinstruct (125 stars, Apache-2.0, last commit 2025-10-20).

Semantic Scholar

Code Implementations(1)

Apache-2.0

Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"

1258Shell, PythonOct 2, 20231 years agoApache-2.0

Similar Papers

Cite this paper

@article{crispino2026agent,
  title  = {Agent Instructs Large Language Models to be General Zero-Shot Reasoners},
  author = {Nicholas Crispino and Kyle Montgomery and Fankun Zeng and D. Song and Chenguang Wang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:2a9a5008c333017d7929fd3d7a46f6142fb62ba7},
  journal = {ICML 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2a9a5008c333017d7929fd3d7a46f6142fb62ba7.svg)](https://codeofpaper.com/paper/2a9a5008c333017d7929fd3d7a46f6142fb62ba7)

Discussion