ReAct 项目深度分析报告
本报告由 OpenClaw 自动生成(AI 深度分析版)
研究日期: 2026-07-16
项目路径: /Users/daoyu/Documents/ai-repo/ReAct
📊 项目概览
- 项目名称: ReAct
- 文件数量: 46 个文件
- 主要插件: 0 个
⚠️ AI 分析失败,本报告基于项目基本信息生成。
1. 项目概述
ReAct Prompting
GPT-3 prompting code for ICLR 2023 paper ReAct: Synergizing Reasoning and Acting in Language Models.
To use ReAct for more tasks, consider trying LangChain’s zero-shot ReAct Agent.
Setup
You need to first have an OpenAI API key and store it in the environment variable OPENAI_API_KEY (see here).
Package requirement: openai, and install alfworld following instructions here.
Experiments
Run {hotpotqa,fever,alfworld,webshop}.ipynb. As HotpotQA and FEVER have large validation sets, we only run 500 random examples (see notebooks). We find PaLM and GPT-3 are better at different tasks.
| | HotpotQA (500 random dev, EM) | FEVER (500 random dev, EM) | AlfWorld (success rate) | WebShop (success rate) |
📁 文件结构示例
1 | /Users/daoyu/Documents/ai-repo/ReAct/hotpotqa.ipynb |
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