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    UK HEP Forum 2026: "Will the LLM revolution uncover the secrets of the Universe?"

    23–25 Nov 2026
    Europe/London timezone

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    Contribution List

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    1. 1. Welcome
      24/11/2026, 10:25
    2. 27. HEP: the big questions
      Gavin Salam (University of Oxford and All Souls College)
      24/11/2026, 10:30
    3. 28. Collider anomalies, tensions, and opportunities
      Sara Alderweireldt (University of Edinburgh)
      24/11/2026, 11:15
    4. 29. Noncollider anomalies, tensions, and opportunities
      Juri Smirnov
      24/11/2026, 12:00
    5. 30. Introduction to LLMs
      Pontus Stenetorp (University College London and BritLLM)
      24/11/2026, 13:50
    6. 31. LLMs in industry
      Dr Gabriel Facini (University College London)
      24/11/2026, 14:35
    7. 53. Dirac neutrino portal to SU(2)D dark matter
      Gonzalo Benítez (University of Southampton)
      24/11/2026, 15:20

      This talk will introduce a new "Dirac neutrino portal to SU(2)D dark matter" model, a promising model where the smallness nature of the active SM-neutrinos arises naturally, even considering sizeable values for the yukawa coupling. Also, two new possible DM candidate are present in this model.

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    8. 54. AgentRivet
      Joseph Egan (University College London)
      24/11/2026, 15:28

      The speaker will give a brief on the motivation for this tool (Rivet routines are sustainable software, facilitating comparison of LHC measurements to new calculations and models) before highlighting some recent development work (building a benchmark of AgentRivet performance).

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    9. 55. AI4Math4Physics (on Zoom)
      Roi Vence-Nogueira (Peking University)
      24/11/2026, 15:36

      This talk will cover the AI4Math revolution, its downstream potential for theoretical physics, and the technologies emerging from it.

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    10. 56. Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation
      Yi Gu (University of Cambridge)
      24/11/2026, 15:44

      In this talk, the speaker will briefly discuss how AI-driven, self-evolving approaches can be used to explore scattering amplitudes.

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    11. 57. Constraining an Electron Majorana Mass
      Alif Khan (University College London)
      24/11/2026, 15:52
    12. 58. Diffusion models for exploring the string landscape with LLM-assisted research
      Zhimei Liu (University of Cambridge)
      24/11/2026, 16:00

      We use discrete diffusion models to learn and generate Type IIB flux vacua across multiple Calabi–Yau geometries. The project was developed with extensive use of LLMs and coding agents for implementation, debugging and experimentation, while scientific decisions and the overall workflow remained human-directed. I will discuss both the physics results and what this experience suggests about the...

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    13. 59. Displaced signals in neutrinoless double beta decay
      Noor-Ines Boudjema (University College London)
      24/11/2026, 16:08
    14. 60. Hunting Semi-Visible Jets with Machine Learning at the LHC
      Miguel Angel Avendano Bernal (University of Southampton)
      24/11/2026, 16:16
    15. 32. Proving theorems using LLMs
      Sven Krippendorf (University of Cambridge)
      24/11/2026, 17:00
    16. 33. AI and QCD
      Daniel Maitre (IPPP)
      24/11/2026, 17:45
    17. 41. LLMs and AI and phenomenology
      Tilman Plehn (Heidelberg University)
      24/11/2026, 18:30
    18. 34. LLMs: research tool or research assistant?
      Veronica Sanz
      25/11/2026, 09:10
    19. 35. LLMs and scientific integrity
      Joseph Tooby-Smith (University of Bath)
      25/11/2026, 09:55
    20. 61. Physics and Prompts forum
      Djuna Croon (IPPP Durham)
      25/11/2026, 10:40
    21. 37. Computing, grid and sustainability
      Alastair Dewhurst (STFC)
      25/11/2026, 11:15
    22. 40. Transformers for low-energy neutrino triggers in Hyper-Kamiokande
      Saúl Alonso-Monsalve
      25/11/2026, 12:00
    23. 36. LArTPC LLMs
      Leigh Whitehead (University of Cambridge)
      25/11/2026, 12:35
    24. 52. What can LHC triggers learn from LLMs?
      Benedikt Maier
      25/11/2026, 14:10
    25. 38. Using LLMs for physics analysis
      Caterina Doglioni (University of Manchester)
      25/11/2026, 14:35
    26. 39. Future of LLMs in HEP
      Daniel Murnane (NBI, Copenhagen and LBL, Berkeley)
      25/11/2026, 15:20
    27. 16. Farewell (taxis depart 16:15)
      25/11/2026, 16:05