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2020 – today
- 2024
[c3]Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu:
Statistical Rejection Sampling Improves Preference Optimization. ICLR 2024- [i8]Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang:
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR abs/2402.01878 (2024) - [i7]Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel:
Direct Language Model Alignment from Online AI Feedback. CoRR abs/2402.04792 (2024) - [i6]Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu:
Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR abs/2409.02392 (2024) - 2023
- [c2]Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR 2023 - [i5]Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu:
SLiC-HF: Sequence Likelihood Calibration with Human Feedback. CoRR abs/2305.10425 (2023) - [i4]Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu:
Statistical Rejection Sampling Improves Preference Optimization. CoRR abs/2309.06657 (2023) - [i3]Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan:
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR abs/2310.08764 (2023) - [i2]Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [i1]Yao Zhao, Misha Khalman, Rishabh Joshi
, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR abs/2210.00045 (2022) - 2021
- [c1]Misha Khalman, Yao Zhao, Mohammad Saleh:
ForumSum: A Multi-Speaker Conversation Summarization Dataset. EMNLP (Findings) 2021: 4592-4599
Coauthor Index
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