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Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM’s Reasoning Capability
This paper introduces cDPO, a method for identifying critical tokens in LLMs that lead to incorrect reasoning, enhancing model alignment through token-level rewards and improving performance on reasoning tasks.
https://arxiv.org/abs//2411.19943
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
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By Igor Melnyk
5
33 ratings
This paper introduces cDPO, a method for identifying critical tokens in LLMs that lead to incorrect reasoning, enhancing model alignment through token-level rewards and improving performance on reasoning tasks.
https://arxiv.org/abs//2411.19943
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
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