[QA] Consistency Checks for Language Model Forecasters

from Arxiv Papers · host Igor Melnyk

The paper proposes a consistency metric for evaluating forecasting AIs, using arbitrage principles, and introduces an automated system to benchmark predictions against logically-related questions. https://arxiv.org/abs//2412.18544 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 Dec 25, 2024

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[QA] Consistency Checks for Language Model Forecasters

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