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[QA] HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
The paper introduces Highlighted Chain-of-Thought Prompting (HoT) to improve LLM responses by tagging facts, enhancing verification accuracy but potentially misleading users when LLMs provide incorrect answers.
https://arxiv.org/abs//2503.02003
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
The paper introduces Highlighted Chain-of-Thought Prompting (HoT) to improve LLM responses by tagging facts, enhancing verification accuracy but potentially misleading users when LLMs provide incorrect answers.
https://arxiv.org/abs//2503.02003
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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