ForumSum: A Multi-Speaker Conversation Summarization Dataset. - Misha Khalman; Yao Zhao; Mohammad Saleh (EMNLP (Findings), 2021)

Calibrating Sequence likelihood Improves Conditional Language Generation. - Yao Zhao; Misha Khalman; Rishabh Joshi; Shashi Narayan; Mohammad Saleh; Peter J. Liu (ICLR, 2023)

SLiC-HF: Sequence Likelihood Calibration with Human Feedback. - Yao Zhao; Rishabh Joshi; Tianqi Liu 002; Misha Khalman; Mohammad Saleh; Peter J. Liu (CoRR, 2023)

Calibrating Likelihoods towards Consistency in Summarization Models. - Polina Zablotskaia; Misha Khalman; Rishabh Joshi; Livio Baldini Soares; Shoshana Jakobovits; Joshua Maynez; Shashi Narayan (CoRR, 2023)

Gemini: A Family of Highly Capable Multimodal Models. - 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; et al. (CoRR, 2023)

Statistical Rejection Sampling Improves Preference Optimization. - Tianqi Liu 002; Yao Zhao; Rishabh Joshi; Misha Khalman; Mohammad Saleh; Peter J. Liu; Jialu Liu (ICLR, 2024)

Direct Language Model Alignment from Online AI Feedback. - Shangmin Guo; Biao Zhang; Tianlin Liu; Tianqi Liu 002; Misha Khalman; Felipe Llinares; Alexandre Ramé; Thomas Mesnard; Yao Zhao; Bilal Piot; Johan Ferret; Mathieu Blondel (CoRR, 2024)

Building Math Agents with Multi-Turn Iterative Preference Learning. - Wei Xiong 015; Chengshuai Shi; Jiaming Shen; Aviv Rosenberg 002; Zhen Qin 001; Daniele Calandriello; Misha Khalman; Rishabh Joshi; Bilal Piot; Mohammad Saleh; Chi Jin; Tong Zhang 001; et al. (ICLR, 2025)

LiPO: Listwise Preference Optimization through Learning-to-Rank. - Tianqi Liu 002; Zhen Qin 001; Junru Wu; Jiaming Shen; Misha Khalman; Rishabh Joshi; Yao Zhao; Mohammad Saleh; Simon Baumgartner; Jialu Liu; Peter J. Liu; Xuanhui Wang (NAACL (Long Papers), 2025)