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LiPO: Listwise Preference Optimization through Learning-to-Rank.

T. Liu, Z. Qin, J. Wu, J. Shen, M. Khalman, R. Joshi, Y. Zhao, M. Saleh, S. Baumgartner, J. Liu, P. Liu, and X. Wang. CoRR, (2024)

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LiPO: Listwise Preference Optimization through Learning-to-Rank.T. Liu, Z. Qin, J. Wu, J. Shen, M. Khalman, R. Joshi, Y. Zhao, M. Saleh, S. Baumgartner, J. Liu and 2 other author(s). CoRR, (2024)Gemini: A Family of Highly Capable Multimodal Models.R. Anil, S. Borgeaud, Y. Wu, J. Alayrac, J. Yu, R. Soricut, J. Schalkwyk, A. Dai, A. Hauth, K. Millican and 42 other author(s). CoRR, (2023)Direct Language Model Alignment from Online AI Feedback.S. Guo, B. Zhang, T. Liu, T. Liu, M. Khalman, F. Llinares, A. Ramé, T. Mesnard, Y. Zhao, B. Piot and 2 other author(s). CoRR, (2024)Statistical Rejection Sampling Improves Preference Optimization.T. Liu, Y. Zhao, R. Joshi, M. Khalman, M. Saleh, P. Liu, and J. Liu. CoRR, (2023)Calibrating Likelihoods towards Consistency in Summarization Models.P. Zablotskaia, M. Khalman, R. Joshi, L. Soares, S. Jakobovits, J. Maynez, and S. Narayan. CoRR, (2023)ForumSum: A Multi-Speaker Conversation Summarization Dataset.M. Khalman, Y. Zhao, and M. Saleh. EMNLP (Findings), page 4592-4599. Association for Computational Linguistics, (2021)SLiC-HF: Sequence Likelihood Calibration with Human Feedback.Y. Zhao, R. Joshi, T. Liu, M. Khalman, M. Saleh, and P. Liu. CoRR, (2023)Calibrating Sequence likelihood Improves Conditional Language Generation.Y. Zhao, M. Khalman, R. Joshi, S. Narayan, M. Saleh, and P. Liu. CoRR, (2022)Calibrating Sequence likelihood Improves Conditional Language Generation.Y. Zhao, M. Khalman, R. Joshi, S. Narayan, M. Saleh, and P. Liu. ICLR, OpenReview.net, (2023)

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LiPO: Listwise Preference Optimization through Learning-to-Rank.

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Disambiguation of "Khalman, Misha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML LiPO: Listwise Preference Optimization through Learning-to-Rank.

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LiPO: Listwise Preference Optimization through Learning-to-Rank.