Paper2Agent: Stanford Reimagining Research Papers as Interactive AI Agents
5 hours ago
- #AI Agents
- #Knowledge Dissemination
- #Research Automation
- Paper2Agent converts research papers into interactive AI agents.
- It transforms static research into active systems for better dissemination and reuse.
- The framework uses multiple agents to analyze papers and associated codebases.
- Creates a Model Context Protocol (MCP) server for robust interaction.
- Paper agents can reproduce original results and handle novel queries.
- Demonstrated effectiveness with case studies in genomics and transcriptomics.
- Introduces a new paradigm for collaborative AI-driven research.