{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T22:52:29Z","timestamp":1785019949814,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,16]]},"DOI":"10.1145\/3731599.3767408","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T16:18:44Z","timestamp":1762532324000},"page":"602-606","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ChatEED: An agentic retrieval assistant for accelerator operators"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3556-1605","authenticated-orcid":false,"given":"Aaron Zachary","family":"Reed","sequence":"first","affiliation":[{"name":"SLAC National Accelerator Laboratory, Menlo Park, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5182-8647","authenticated-orcid":false,"given":"Claudio","family":"Bisegni","sequence":"additional","affiliation":[{"name":"SLAC National Accelerator Laboratory, Menlo Park, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8010-1669","authenticated-orcid":false,"given":"Sandesh","family":"Shrestha","sequence":"additional","affiliation":[{"name":"SLAC National Accelerator Laboratory, Menlo Park, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5958-5942","authenticated-orcid":false,"given":"Michelle","family":"Huang","sequence":"additional","affiliation":[{"name":"SLAC National Accelerator Laboratory, Menlo Park, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5747-7323","authenticated-orcid":false,"given":"Daniel","family":"Ratner","sequence":"additional","affiliation":[{"name":"SLAC National Accelerator Laboratory, Menlo Park, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,11,15]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Ziqian Bi Keyu Chen Chiung-Yi Tseng Danyang Zhang Tianyang Wang Hongying Luo Lu Chen Junming Huang Jibin Guan Junfeng Hao and Junhao Song. 2025. Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI\u2019s Latest Open Source Models. arxiv:https:\/\/arXiv.org\/abs\/2508.12461\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2508.12461"},{"key":"e_1_3_3_2_3_2","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly Jakob Uszkoreit and Neil Houlsby. 2021. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arxiv:https:\/\/arXiv.org\/abs\/2010.11929\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2010.11929"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Thorsten Hellert Jo\u00e3o Montenegro Marco Venturini and Andrea Pollastro. 2025. Domain-specific text embedding model for accelerator physics. Phys. Rev. Accel. Beams 28 (Apr 2025) 044601. Issue 4. 10.1103\/PhysRevAccelBeams.28.044601","DOI":"10.1103\/PhysRevAccelBeams.28.044601"},{"key":"e_1_3_3_2_5_2","unstructured":"SLAC National\u00a0Accelerator Laboratory. 2025. LCLS-II High Energy (HE). https:\/\/lcls.slac.stanford.edu\/lcls-ii-he"},{"key":"e_1_3_3_2_6_2","volume-title":"Baked-in Brilliance: Reranking Meets RL with mxbai-rerank-v2","author":"Lee Sean","year":"2025","unstructured":"Sean Lee, Rui Huang, Aamir Shakir, and Julius Lipp. 2025. Baked-in Brilliance: Reranking Meets RL with mxbai-rerank-v2. https:\/\/www.mixedbread.com\/blog\/mxbai-rerank-v2"},{"key":"e_1_3_3_2_7_2","volume-title":"Open Source Strikes Bread - New Fluffy Embeddings Model","author":"Lee Sean","year":"2024","unstructured":"Sean Lee, Aamir Shakir, Darius Koenig, and Julius Lipp. 2024. Open Source Strikes Bread - New Fluffy Embeddings Model. https:\/\/www.mixedbread.ai\/blog\/mxbai-embed-large-v1"},{"key":"e_1_3_3_2_8_2","unstructured":"Xianming Li and Jing Li. 2023. AnglE-optimized Text Embeddings. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2309.12871 (2023)."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Jennefer Maldonado Samuel Clark Wenge Fu and Seth Nemesure. 2023. Enhancing electronic logbooks using machine learning. Proc. ICALEPCS\u201923 (October 2023) 382\u2013385. 10.18429\/JACoW-ICALEPCS2023-TUMBCMO15","DOI":"10.18429\/JACoW-ICALEPCS2023-TUMBCMO15"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","unstructured":"Frank Mayet. 2024. GAIA: A General AI Assistant for Intelligent Accelerator Operations. 10.48550\/arXiv.2405.01359","DOI":"10.48550\/arXiv.2405.01359"},{"key":"e_1_3_3_2_11_2","unstructured":"Ollama Inc.2025. Ollama. https:\/\/ollama.com\/"},{"key":"e_1_3_3_2_12_2","unstructured":"Open WebUI Contributors. 2025. Open WebUI. https:\/\/github.com\/openwebui\/open-webui"},{"key":"e_1_3_3_2_13_2","unstructured":"OpenAI. 2025. Introducing gpt-oss. https:\/\/openai.com\/index\/introducing-gpt-oss."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Antonin Sulc Alex Bien Annika Eichler Daniel Ratner Florian Rehm Frank Mayet Gregor Hartmann Hayden Hoschouer Henrik Tuennermann Jan Kaiser Jason\u00a0St. John Jennefer Maldonado Kyle Hazelwood Raimund Kammering Thorsten Hellert Tim Wilksen Verena Kain and Wan-Lin Hu. 2024. Towards Unlocking Insights from Logbooks Using AI. arxiv:https:\/\/arXiv.org\/abs\/2406.12881\u00a0[physics.acc-ph] https:\/\/arxiv.org\/abs\/2406.12881","DOI":"10.2172\/2376221"},{"key":"e_1_3_3_2_15_2","unstructured":"Antonin Sulc Thorsten Hellert Aaron Reed Adam Carpenter Alex Bien Chris Tennant Claudio Bisegni Daniel Lersch Daniel Ratner David Lawrence Diana McSpadden Hayden Hoschouer Jason\u00a0St. John and Thomas Britton. 2025. eLog analysis for accelerators: status and future outlook. arxiv:https:\/\/arXiv.org\/abs\/2506.12949\u00a0[hep-ex] https:\/\/arxiv.org\/abs\/2506.12949"},{"key":"e_1_3_3_2_16_2","unstructured":"Chris Tennant. 2025. Large language models for logbooks: Limits liabilities and lessons learned. Jefferson Lab Newport News (2025) Technical Note 25\u2013032."},{"key":"e_1_3_3_2_17_2","unstructured":"Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan and Yuan Cao. 2023. ReAct: Synergizing Reasoning and Acting in Language Models. arxiv:https:\/\/arXiv.org\/abs\/2210.03629\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2210.03629"}],"event":{"name":"SC Workshops '25: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","location":"St Louis MO USA","acronym":"SC Workshops '25","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"]},"container-title":["Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3731599.3767408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:33:28Z","timestamp":1767987208000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3731599.3767408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,15]]},"references-count":16,"alternative-id":["10.1145\/3731599.3767408","10.1145\/3731599"],"URL":"https:\/\/doi.org\/10.1145\/3731599.3767408","relation":{},"subject":[],"published":{"date-parts":[[2025,11,15]]},"assertion":[{"value":"2025-11-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}