abosselut.bsky.social
Helping machines make sense of the world. Asst Prof @icepfl.bsky.social; Before: @stanfordnlp.bsky.social @uwnlp.bsky.social AI2 #NLProc #AI Website: https://atcbosselut.github.io/
👤 Joined on 17 November 2024
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@abosselut.bsky.socialHuge shoutout to my amazing co-authors on Mixture of Cognitive Reasoners: @cndesabbata.bsky.social, @gretatuckute.bsky.social, @eric-zemingchen.bsky.social, @mschrimpf.bsky.social, and @abosselut.bsky.social! Link: cognitive-reasoners.epfl.ch Poster below👇
Show PostLLMs can retrieve knowledge — but can they connect it in *creative* ways to solve problems? Introducing CresOWLve 🦉, a new benchmark that evaluates creative problem-solving over real-world knowledge, using puzzles that require multiple creative thinking strategies.👇
Show PostThese aren't your typical trivia questions. CresOWLve spans 34 knowledge domains — from Literature to Astronomy to Art — covering 2,061 carefully curated puzzles across more than 26 cultures. Solving them demands *connecting facts across domains in non-obvious ways* 🌍📚
Show PostAnd it's not just *what* you know — it's *how* you think. 72% of puzzles require lateral thinking. Many involve analogy-making, abstraction, metaphors, jokes, and puns. Most questions combine 2+ creative reasoning strategies.
Show PostLLM performance? 📉 Non-thinking models under 30% (with CoT), most thinking models under 60%. 📉 Models perform up to 17% worse on creative vs. factual questions. Crucially, models *can* retrieve the relevant facts — they just fail to form the creative connection between them.
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