177 citations · 1.3k across the 60 of their papers we have counts for
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HEPTABench: A framework for portable and controlled agentic evaluations in high energy physics
Tony Menzo, Alexander Roman, George T. Fleming +3
Quantifying the capability and reliability of agentic systems in high-energy physics (HEP) requires repeated evaluations under controlled configurations. Establishing whether chang…
Agentic Diagrammatica: Towards Autonomous Symbolic Computation in High Energy Physics
Tony Menzo, Alexander Roman, George T. Fleming +3
We present Diagrammatica, a symbolic computation extension to the HEPTAPOD agentic framework, which enables LLM agents to plan and execute multi-step theoretical calculations. Symb…
HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency
Tony Menzo, Alexander Roman, Sergei Gleyzer +5
Many theoretical and experimental workflows in high-energy-physics (HEP) stand to benefit from recent advances in transformer-based large language models (LLMs). While early applic…
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning
Abdulhakim Alnuqaydan, Sergei Gleyzer, Harrison Prosper
The cross section is one of the most important physical quantities in high-energy physics and the most time consuming to compute. While machine learning has proven to be highly suc…