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UID:17dcabfb-acee-4c55-abf1-b02e71feb7f0@eventxplore
DTSTAMP:20260928T195843Z
DTSTART:20261005T230000Z
DTEND:20261006T003000Z
SUMMARY:CNDS Seminar - Andrew Shen - Unlocking LLM Creativity in Science through Analogical Reasoning
DESCRIPTION:Abstract Autonomous science promises to augment scientific discovery\, particularly in complex fields like biomedicine. However\, this requires AI systems that can consistently generate novel and diverse solutions to open-ended problems. We evaluate LLMs on the task of open-ended solution generation and quantify their tendency to mode collapse into low-diversity generations. To mitigate this mode collapse\, we introduce analogical reasoning (AR) as a new approach to solution generation. AR generates analogies to cross-domain problems based on shared relational structure\, then uses those analogies
LOCATION:Stanford Neurosciences Building
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