Yuan, Weizhe

11 publications

ICLR 2026 RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-Penalization Zhaoning Yu, Zhaolun Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason E Weston, Ping Yu, Jing Xu

NeurIPS 2025 NaturalReasoning: Reasoning in the Wild with 2.8m Challenging Questions Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E Weston, Xian Li

ICML 2025 R.I.P.: Better Models by Survival of the Fittest Prompts Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E Weston, Jing Xu

ICML 2025 Self-Consistency Preference Optimization Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E Weston, Jane Yu

ICML 2025 Thinking LLMs: General Instruction Following with Thought Generation Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E Weston, Sainbayar Sukhbaatar

ICLR 2024 Generative Judge for Evaluating Alignment Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu

NeurIPS 2024 Iterative Reasoning Preference Optimization Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston

ICML 2024 Self-Rewarding Language Models Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason E Weston

JAIR 2022 Can We Automate Scientific Reviewing? Weizhe Yuan, Pengfei Liu, Graham Neubig

AAAI 2022 KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-Training Weizhe Yuan, Pengfei Liu

NeurIPS 2021 BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan, Graham Neubig, Pengfei Liu