Top Tweets for #paper2agent
#Paper2Agent can now transform static research papers into an active AI agent — a virtual corresponding author that answers questions, applies the paper’s methods to new data, collaborates with other paper agents
https://t.co/vybOctN2NJ
@Nature
#Paper2Agent is an automated framework that converts research papers into AI agents, encapsulating a paper’s key contributions through an MCP server and linking the server to LLM-based agents for natural language querying & autonomous execution
https://t.co/UgJLqKOUg3
@nature.com
Hoy en https://t.co/n9KEpZ0JZX: La nueva herramienta #Paper2Agent convierte un artículo científico en un agente de #IA especializado en ese artículo.
https://t.co/3ys9L21QBM
What if a research paper could answer your questions and run its own analyses? #Paper2Agent turns static papers, code and workflows into interactive AI agents that can reproduce results and tackle new scientific queries. @Nature @StanfordMed @james_y_zou https://t.co/wg2drN2fIM
🔥 Excited to share that #paper2agent is published in @Nature today!
Papers have long been the primary format for communicating scientific knowledge, but they remain static. Putting that knowledge to work requires connecting findings to data, navigating supplementary materials, and adapting methods to new questions - effort repeated by each new reader.
We introduce Paper2Agent, a multi-agent framework that automatically turns research papers into virtual authors. Paper2Agent turns a paper’s manuscript, code, data, and supplements into an MCP server that any AI agent can access, with automated testing and iterative refinement in an agentic loop. The paper then becomes a virtual author you can talk to: trace claims to evidence, analyze your own data, and collaborate with other papers’ virtual authors
Agentifying a paper turns it from something people read into something people and AI agents can discover and build on - providing the context needed to interpret its findings and reuse its methods reliably. We tested how reliably these agents put papers to use. Across multiple benchmarks, agents created by Paper2Agent outperformed baselines such as Claude Code working directly with papers' PDFs and code repositories.
Once papers become virtual authors, they can collaborate - much like human researchers do. In one case study, agents built from AlphaGenome and two large-scale genetic perturbation studies worked together to propose a new computational approach for integrating evidence across different perturbation datasets. By connecting predictions from one paper with experimental data from others, they helped pinpoint a likely causal gene for psoriasis.
We hope Paper2Agent makes scientific knowledge easier to access, reuse, and build on - a first step toward a future where millions of paper agents proactively collaborate with human researchers and one another to advance discovery.
🤖Talk to the virtual author for Paper2Agent itself: https://t.co/wCzxUS4alX
📎Paper: https://t.co/2EGOPUgirB
💻Code: https://t.co/290bZWDmRt
VERY grateful to work with this incredible team: @james_y_zou, @jkpritch, Yaohui, and Joe!
Thrilled that #paper2agent is published in @nature today!
Scientific knowledge is traditionally stored in passive papers. Paper2Agent transforms papers into virtual authors that answer questions, apply its methods and collaborate w/ other paper agents to make new discoveries 🧵
We’re building tools to support research in the life sciences, from early discovery through to commercialization.
With Claude for Life Sciences, we’ve added connectors to scientific tools, Skills, and new partnerships to make Claude more useful for scientific work.
3/ #Paper2Agent 1) extracts the paper’s codebase; 2) wraps core features as MCP tools; 3) robustifies MCP through iterative testing; 4) deploys paper MCP server on @huggingface and integrates with AI agent.
2/ By turning static papers into interactive AI agents, #Paper2Agent introduces a new paradigm for knowledge dissemination and AI co-scientists.
🌐https://t.co/MkPDMdKEcp
📰https://t.co/ceeEJbjZZe
Great job by @Jiacheng_Miao w/ wonderful collaborators Joe Davis @jkpritch!
Excited to introduce #Paper2Agent: automatically transform passive paper📜 into active AI agent🤖!
Research paper ➡️ paper MCP ➡️ chat agent applying tools/data in the paper to new projects.
Key is to use multiple sub-agents to build robust MCP from paper/code. Examples in🧵
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