{"id":3497,"date":"2026-03-13T17:39:44","date_gmt":"2026-03-13T08:39:44","guid":{"rendered":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/?post_type=seminar&p=3497"},"modified":"2026-03-13T17:40:31","modified_gmt":"2026-03-13T08:40:31","slug":"how-llm-can-help-particle-physicists","status":"publish","type":"seminar","link":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/seminar\/3497\/","title":{"rendered":"How LLM can help particle physicists"},"content":{"rendered":"

In this talk, I want to discuss evolving field of application of LLM to the scientific coding. The HEP analysis often require lengthy coding of high reliability. We introduce CoLLM, which allows to generate analysis code from the LLM prompts quickly.
\nThe package include the automatic bag fixing, and it is now quickly evolving toward code reviews and refinements. I also comments the possible application to the other field and implication from brain functions.<\/p>\n","protected":false},"featured_media":0,"template":"","tags":[],"seminar_category":[154],"acf":{"s_now_accepting":true,"s_date_order":"2026-03-18 17:00:00","s_date_end":"2026-03-18 18:00:00","s_date_text":"17:00 - 18:00","s_text":"Mihiko Nojiri (KEK \/ Tsukuba University)","s_place":"ES635 + Zoom","s_place_other":"","s_categoryother":"","s_poster":"","s_poster2":"","s_slide":""},"yoast_head":"\nHow LLM can help particle physicists - KMI - Nagoya University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/seminar\/3497\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How LLM can help particle physicists - KMI - Nagoya University\" \/>\n<meta property=\"og:description\" content=\"In this talk, I want to discuss evolving field of application of LLM to the scientific coding. The HEP analysis often require lengthy coding of high reliability. We introduce CoLLM, which allows to generate analysis code from the LLM prompts quickly. The package include the automatic bag fixing, and it is now quickly evolving toward code reviews and refinements. 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