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[short] Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
The paper introduces DITTO, a method for improving the role-playing capabilities of large language models (LLMs) by leveraging their extensive knowledge of characters and dialogues. DITTO outperforms open-source baselines and achieves performance comparable to advanced proprietary chatbots.
https://arxiv.org/abs//2401.12474
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 DITTO, a method for improving the role-playing capabilities of large language models (LLMs) by leveraging their extensive knowledge of characters and dialogues. DITTO outperforms open-source baselines and achieves performance comparable to advanced proprietary chatbots.
https://arxiv.org/abs//2401.12474
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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