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arxiv: 2601.21015 · v3 · submitted 2026-01-28 · ✦ hep-ph

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MadAgents

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classification ✦ hep-ph
keywords madagentssimulationsupportaccelerateaccessadvancedagenticagents
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We uncover an effective and communicative set of agents working with MadGraph. Agentic installation, learning-by-doing training, and user support provide easy access to state-of-the-art simulations and accelerate LHC research. We show in detail how MadAgents interact with inexperienced and advanced users, support a range of simulation tasks, and analyze results. In a second step, we illustrate how MadAgents automatize event generation and run an autonomous simulation campaign, starting from a pdf file of a paper. The updated Claude Code implementation includes a self-improvement loop.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction

    cs.LG 2026-05 unverdicted novelty 7.0

    Collider-Bench is a new benchmark showing that current LLM agents cannot reliably reproduce LHC analyses at the level of a physicist-in-the-loop.