Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01323 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701323 | |
| Published online | 07 October 2025 | |
- Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, and W. E. Hubbard, “Handwritten digit recognition with a back-propagation network,” in Advances in Neural Information Processing Systems, 1999, pp. 396–404. [Google Scholar]
- OpenAI et al., “GPT-4 Technical Report,” Mar. 2023, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2303.08774v6 [Google Scholar]
- P. Lewis et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” Adv Neural Inf Process Syst, vol. 2020- December, May 2020, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2005.11401v4 [Google Scholar]
- D. Edge et al., “From Local to Global: A Graph RAG Approach to Query-Focused Summarization,” Apr. 2024, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2404.16130v2 [Google Scholar]
- “arXiv.org e-Print archive.” Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/ [Google Scholar]
- M. Vesely, T. Baron, J. Y. Le Meur, and T. Simko, “CERN document server: Document management system for grey literature in a networked environment,” Publishing Research Quarterly, vol. 20, no. 1, pp. 77–83, Mar. 2004, doi: 10.1007/BF02910863/METRICS. [Google Scholar]
- P. Ferreira et al., “Indico: A collaboration hub,” J Phys Conf Ser, vol. 396, no. PART 6, 2012, doi: 10.1088/1742-6596/396/6/062006. [Google Scholar]
- E. Maguire, L. Heinrich, and G. Watt, “HEPData: a repository for high energy physics data,” J.Phys.Conf.Ser., vol. 898, no. 10, p. 102006, Nov. 2017, doi: 10.1088/1742-6596/898/10/102006. [Google Scholar]
- D. Murnane, G. Facini, R. Li, and C. Randazzo, “chATLAS,” in chATLAS Overview, AI4EIC 2023 Workshop, Ed., Washington DC, Nov. 2023. Accessed: Feb. 20, 2025. [Online]. Available: https://chatlas-flask-chatlas.app.cern.ch/ [Google Scholar]
- “ACAT 2024 (11-15 March 2024): Retrieval Augmented Generation for Particle Physics: A Case Study with the Snowmass White Papers and Reports · Indico.” Accessed: Feb. 20, 2025. [Online]. Available: https://indico.cern.ch/event/1330797/contributions/5796631/ [Google Scholar]
- Florian Rehm, Juan Manuel Guijarro, Sofia Vailecorsa, and Verena Kain, “AccGPT: A CERN Knowledge Retrieval Chatbot,” in CHEP 2024 Proceedings (to be published), Oct. 2025. [Google Scholar]
- “Conference on Computing in High Energy and Nuclear Physics (19-25 October 2024): HEP-Help: a first-stop helpline for particle physics software · Indico.” Accessed: Feb. 20, 2025. [Online]. Available: https://indico.cern.ch/event/1338689/contributions/6011109/ [Google Scholar]
- H. Cai et al., “SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis,” Mar. 2024, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2403.01976v5 [Google Scholar]
- V. Nechakhin, J. D’Souza, and S. Eger, “Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph,” May 2024, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2405.02105v1 [Google Scholar]
- “gordonwatts/abstract-ranker: Code to play with conference abstract ranking and classification.” Accessed: Feb. 20, 2025. [Online]. Available: https://github.com/gordonwatts/abstract-ranker/tree/main [Google Scholar]
- M. Abdin et al., “Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone,” Apr. 2024, Accessed: Feb. 20, 2025. [Online]. Available: https://arxiv.org/abs/2404.14219v4 [Google Scholar]
- “Hugging Face – The AI community building the future.” Accessed: Feb. 20, 2025. [Online]. Available: https://huggingface.co/ [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

