{"id":8983,"date":"2025-10-02T09:24:28","date_gmt":"2025-10-02T14:24:28","guid":{"rendered":"https:\/\/uwm.edu\/physics\/?post_type=tribe_events&#038;p=8983"},"modified":"2025-12-08T16:22:45","modified_gmt":"2025-12-08T22:22:45","slug":"physics-colloquium-moritz-munchmeyer","status":"publish","type":"tribe_events","link":"https:\/\/uwm.edu\/physics\/event\/physics-colloquium-moritz-munchmeyer\/","title":{"rendered":"Physics Colloquium &#8211; Moritz M\u00fcnchmeyer"},"content":{"rendered":"<h2>AI Reasoning in Theoretical Physics with the TPBench Project<\/h2>\n<p>Assistant Professor Moritz M\u00fcnchmeyer<br \/>\nUW-Madison Department of Physics<\/p>\n<p>Large-language models are becoming powerful enough to assist physicists with mathematical reasoning at the research level. In this talk, I will first present our dataset TPBench (tpbench.org), which was constructed to benchmark and improve AI models specifically for theoretical physics. I will then discuss how test-time scaling and symbolic verification can be used to improve their performance and reliability.<\/p>\n<p>I will also show preliminary results from two new projects. In the first, we apply reinforcement learning to fine-tune models on QFT problems. In the second, we apply LLM-based code evolution (similar to Google\u2019s AlphaEvolve) to algorithmic problems in cosmology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><strong>AI Reasoning in Theoretical Physics with the TPBench Project<\/strong><br \/>\nAssistant Professor Moritz M\u00fcnchmeyer<br \/>\nUW-Madison Department of Physics<\/p>\n<p>Large-language models are becoming powerful enough to assist physicists with mathematical reasoning at the research level. In this talk, I will first present our dataset TPBench (tpbench.org), which was constructed to benchmark and improve AI models specifically for theoretical physics.<\/p>\n","protected":false},"author":9647,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":"","uwm_wg_additional_authors":[]},"tags":[],"tribe_events_cat":[58],"class_list":["post-8983","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-physics-colloquia","cat_physics-colloquia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Physics &amp; Astronomy<\/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:\/\/uwm.edu\/physics\/event\/physics-colloquium-moritz-munchmeyer\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Physics Colloquium - Moritz M\u00fcnchmeyer\" \/>\n<meta property=\"og:description\" content=\"AI Reasoning in Theoretical Physics with the TPBench Project Assistant Professor Moritz M\u00fcnchmeyer UW-Madison Department of Physics  Large-language models are becoming powerful enough to assist physicists with mathematical reasoning at the research level. 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