[QA] Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

from Arxiv Papers · host Igor Melnyk

The paper advocates for new benchmarks to evaluate Language Models' ability to create counterexamples for incorrect solutions, enhancing their role in scientific discovery and iterative hypothesis refinement. https://arxiv.org/abs//2502.19414 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Feb 27, 2025

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[QA] Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

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