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# 🤔🛠️🤖 CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
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<h1 align="center">
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🤔🛠️🤖 CRITIC:
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<br>
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Large Language Models Can Self-Correct with Tool-Interactive Critiquing
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</h1>
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<div align="center">
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![](https://img.shields.io/badge/Task-Question%20Answering-red)
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![](https://img.shields.io/badge/Task-Commonsense%20Reasoning-yellow)
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![](https://img.shields.io/badge/Task-Mathematical%20Reasoning-orange)
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![](https://img.shields.io/badge/Task-Hallucination%20Detection-purple)
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![](https://img.shields.io/badge/Task-Safety-blue)
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![](https://img.shields.io/badge/Code%20License-MIT-green)
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<br>
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</div>
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<p align="center">
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<a href="#-quick-start"><b>[Quick Start]</b></a> •
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<!-- <a href="https://llm-agents.github.io/critic/"><b>[Website]</b></a> • -->
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<a href="https://arxiv.org/pdf/2305.11738.pdf"><b>[Paper]</b></a> •
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<a href="#%EF%B8%8F-citation"><b>[Citation]</b></a>
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</p>
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Repo for the paper "[CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing](https://arxiv.org/abs/2305.11738)".
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## 🔥 News
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- In our [updated paper](https://arxiv.org/abs/2305.11738), we add CRITIC results of open-source LLaMA-2 models from 7B to 70B on three QA / commonsense reasoning tasks, and three mathematical code synthesis tasks.
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This repository contains code and data for the paper "[CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing](https://arxiv.org/abs/2305.11738)".
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## 💡 Introduction
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## 💬 Examples
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<p align="center">
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<img src="./images/demo.png" width="1000">
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<img src="./images/demo.png" width="900">
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</p>
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3. For toxicity reduction, you can follow this [tutorial](https://developers.google.com/codelabs/setup-perspective-api) and configure [Perspective API](https://www.perspectiveapi.com/) in `src/tools/config.py`.
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## 🚀 Getting Started
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## 🚀 Quick Start
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We provide example bash scripts for each task as follows:
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</p>
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## ❤️ Citation
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## ☕️️ Citation
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```
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@misc{gou2023critic,
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