♈️ Aries: ArXiv Research Intelligent Efficient Summary

Arxiv Paper to Feishu

中文文档

🎉 Introduction

A tool that automatically fetches the latest LLM-related papers from arXiv and pushes them through Feishu bots. The bot uses Deepseek AI for intelligent filtering and summarization, helping you stay up-to-date with the latest research developments.

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✨ Features

• 🤖 Auto Paper Fetching: Scrapes the latest LLM-related papers from arXiv.
• 🧠 Smart Filtering & Summarization: Uses Deepseek AI for high-quality filtering and summarization.
• 📱 Multi-bot Support: Configure multiple Feishu bots to push to different groups.
• ⏰ Scheduled Tasks: Default push at 9 AM daily, customizable.
• ⚙️ Flexible Configuration: Customize paper types, filtering rules, and push methods via config file.
• 📊 History Tracking: Pushed papers are recorded in paper_history.json to avoid duplicates.

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🚀 Quick Start

1. Install dependencies:

   pip install -r requirements.txt

2. Configure environment variables:

   • Create a .env file and fill in as follows:

     DEEPSEEK_API_KEY=your_deepseek_api_key
     WEBHOOK_URL_1=https://your_first_webhook_url
     WEBHOOK_URL_2=https://your_second_webhook_url
     

3. Configure config.yaml to customize paper types and filtering rules.

4. Run the script:

   python main.py

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⚙️ Configuration Guide

Environment Variables

• DEEPSEEK_API_KEY: Required, for calling Deepseek API.
• WEBHOOK_URL_[n]: Required, Feishu bot webhook URLs, multiple can be configured.

Configuration Details:

• paper_types: Define settings for each paper type.

  • enabled: Status, true to enable, false to disable.
  • search_query: arXiv search query, supports logical conditions and keyword combinations.
  • keywords: Keyword list for paper filtering.
  • prompt: Prompt for Deepseek to judge paper relevance, generated based on search_query and keywords. Can be modified.
  • max_papers: Maximum number of papers per push (default 5, customizable).

• general: Global configuration.

  • max_search_results: Maximum number of papers returned by search.
  • schedule_time: Daily scheduled task time (24-hour format).

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❗ Important Notes

1. Ensure sufficient Deepseek API Key quota.
2. Feishu Webhook URLs should be obtained from bot settings in Feishu groups.
3. Recommended to deploy on a server for continuous operation.
4. New paper types can be added or existing configurations adjusted via config.yaml.

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❓ FAQ

1. API Call Failure
   • Check if the Deepseek API Key is correct.
2. Message Push Failure
   • Verify if the Webhook URL is valid.
3. Test Push
   • Uncomment agent.run() in the main function to run directly.

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📝 TODO List

• 📚 Paper Collection & Management

  • Automatic arXiv paper fetching
  • Paper history storage
  • Related paper correlation analysis
  • Paper archiving system

• 🔍 Intelligent Paper Processing

  • Auto Summary: Paper summarization
  • Auto Review: Paper review generation
  • Auto Survey: Field survey generation

• 📢 Multi-platform Distribution

  • Feishu bot integration
  • WeChat bot integration
  • Xiaohongshu content publishing

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📄 License

This project is licensed under the MIT License.