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The paper introduces InfAlign, an inference-aware alignment framework that optimizes language model performance during inference, outperforming existing methods by 8-12% on helpfulness and harmlessness benchmarks.
https://arxiv.org/abs//2412.19792
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
The paper introduces InfAlign, an inference-aware alignment framework that optimizes language model performance during inference, outperforming existing methods by 8-12% on helpfulness and harmlessness benchmarks.
https://arxiv.org/abs//2412.19792
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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