Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
AI Research
arXiv CS.AI·Jun 12·5 min read
AgentRivet: an automated system for producing Rivet routines from journal publications
TL;DR
A significant gap exists in the availability of Rivet routines, with only 39% of measurements documented for particle physics analysis. AgentRivet, an automated workflow utilizing Large Language Models, was developed to extract analysis information from journal publications and generate the missing Rivet routines.
✦ Why It Matters
Engineers and researchers can leverage AgentRivet to automate the generation of Rivet routines, improving analysis efficiency.
Key Takeaways
- Utilize AgentRivet to automate Rivet routine generation.
- Review generated routines for physics fidelity and syntax errors.
- Address ambiguous definitions in source papers to improve outcomes.
- Explore commercial LLMs for enhancing automated analysis workflows.
How It Works
AgentRivet employs a multi-step workflow that begins with extracting relevant physics analysis data from published papers. It then uses Large Language Models to write the missing Rivet routines, incorporating intermediate reviews to ensure both code quality and adherence to the physics described in the original publications.