GPT-4o Research Assistant

The GPT-4o Research Assistant is a powerful tool designed to leverage GPT-4o in assisting with academic research. It searches for academic papers on ArXiv, identifies the most promising paper based on a given search term, downloads the paper, extracts its contents, and then summarizes it. The tool also suggests a new search term for subsequent research, creating an automated research exploration chain.

Features

• Organized Research Storage:

  • Creates a structured research_papers directory
  • Organizes papers in subdirectories based on search terms
  • Saves both PDFs and their summaries in respective folders

• ArXiv Integration:

  • Queries the ArXiv database for academic papers
  • Supports customizable number of results (default: 10)
  • Automatically filters out previously selected papers

• Intelligent Paper Selection:

  • Uses GPT-4O to analyze and choose the most interesting paper
  • Provides reasoning for paper selection
  • Handles paper deduplication across iterations

• Automated Processing:

  • Downloads selected papers in PDF format
  • Extracts and processes text content
  • Generates concise summaries using GPT-4O
  • Suggests new research directions

• User-Friendly Output:

  • Colored terminal output for better readability
  • Clear progress indicators
  • Detailed error messages
  • Structured file organization

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Directory Structure

research_papers/
    └── search_term_sanitized/         # First 30 chars of search term
        ├── paper_title.pdf            # Downloaded paper
        └── paper_title_summary.txt    # GPT-generated summary

Setup

1. Environment Setup:

   pip install -r requirements.txt

2. API Key Configuration:

   • Set your OpenAI API key as an environment variable:

   export OPENAI_API_KEY='your-api-key'

Usage

1. Basic Usage:

   python main.py

   • Default search term: "coding ability of large language models"
   • Default number of iterations: 3

2. Configuration: Modify the constants in main.py to customize:

   • MODEL: GPT model to use (default: "gpt-4o")
   • MAX_RESULTS: Number of papers to fetch (default: 10)
   • NUMBER_OF_TURNS: Research iterations (default: 3)
   • INITIAL_SEARCH_TERM: Starting search term

Features in Detail

Paper Selection

• Fetches papers from ArXiv based on search term
• GPT-4O analyzes paper summaries and selects the most promising one
• Provides explanation for the selection

Paper Processing

• Downloads PDF automatically
• Extracts text content
• Generates comprehensive summary
• Saves both PDF and summary in organized folders

Research Chain

• Analyzes paper content to suggest new research directions
• Automatically uses suggested terms for next iteration
• Maintains research continuity while exploring new areas

Error Handling

• Robust error handling throughout the process
• Clear error messages with colored output
• Graceful failure recovery

Limitations

• Text extraction limited to first 100,000 characters per paper
• Maximum of 10 papers retrieved per search
• Requires stable internet connection for ArXiv and API access

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