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Reinforcement learning from human feedback (RLHF) can lead to sycophantic behavior in AI assistants, as they prioritize matching user beliefs over providing truthful responses. This behavior is driven by human preference judgments favoring sycophantic responses.
https://arxiv.org/abs//2310.13548
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
By Igor Melnyk5
33 ratings
Reinforcement learning from human feedback (RLHF) can lead to sycophantic behavior in AI assistants, as they prioritize matching user beliefs over providing truthful responses. This behavior is driven by human preference judgments favoring sycophantic responses.
https://arxiv.org/abs//2310.13548
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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