Weizhe Yuan

51 papers A* 11Misc 1Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation.
CoRR
Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim, Ilia Kulikov, Jack Lanchantin, Xian Li, Tianjian Li, Bo Liu, Graham Neubig, Anaelia Ovalle, Swarnadeep Saha, Sainbayar Sukhbaatar, Sean Welleck, Jason Weston, Chenxi Whitehouse, Adina Williams, Jing Xu, Ping Yu, Weizhe Yuan, Jingyu Zhang, Wenting Zhao
2025 J jnl
An Overview of Large Language Models for Statisticians.
CoRR
Wenlong Ji, Weizhe Yuan, Emily J. Getzen, Kyunghyun Cho, Michael I. Jordan, Song Mei, Jason Aaron Edward Weston, Weijie J. Su, Jing Xu, Linjun Zhang
2025 J jnl
Bridging Offline and Online Reinforcement Learning for LLMs.
CoRR
Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E. Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025 J jnl
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.
CoRR
Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan, Olga Golovneva, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025 A* conf
Following Length Constraints in Instructions.
EMNLP
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu
2025 A* conf
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.
EMNLP
Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2025 J jnl
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions.
CoRR
Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E. Weston, Xian Li
2025 J jnl
NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks.
CoRR
Yang Li, Youssef Emad, Karthik Padthe, Jack Lanchantin, Weizhe Yuan, Thao Nguyen, Jason Weston, Shang-wen Li, Dong Wang, Ilia Kulikov, Xian Li
2025 A* conf
R.I.P.: Better Models by Survival of the Fittest Prompts.
ICML
Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu
2025 J jnl
R.I.P.: Better Models by Survival of the Fittest Prompts.
CoRR
Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025 J jnl
RESTRAIN: From Spurious Votes to Signals - Self-Driven RL with Self-Penalization.
CoRR
Zhaoning Yu, Will Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason Weston, Ping Yu, Jing Xu
2025 J jnl
SPICE: Self-Play In Corpus Environments Improves Reasoning.
CoRR
Bo Liu, Chuanyang Jin, Seungone Kim, Weizhe Yuan, Wenting Zhao, Ilia Kulikov, Xian Li, Sainbayar Sukhbaatar, Jack Lanchantin, Jason Weston
2025 A* conf
Self-Consistency Preference Optimization.
ICML
Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E. Weston, Jane Yu
2025 J jnl
StepWiser: Stepwise Generative Judges for Wiser Reasoning.
CoRR
Wei Xiong, Wenting Zhao, Weizhe Yuan, Olga Golovneva, Tong Zhang, Jason Weston, Sainbayar Sukhbaatar
2025 A* conf
Thinking LLMs: General Instruction Following with Thought Generation.
ICML
Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2024 J jnl
Following Length Constraints in Instructions.
CoRR
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2024 A* conf
Generative Judge for Evaluating Alignment.
ICLR
Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu
2024 A* conf
Iterative Reasoning Preference Optimization.
NeurIPS
Richard Yuanzhe Pang, Weizhe Yuan, He He, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston
2024 J jnl
Iterative Reasoning Preference Optimization.
CoRR
Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston
2024 J jnl
LLMCRIT: Teaching Large Language Models to Use Criteria.
CoRR
Weizhe Yuan, Pengfei Liu, Matthias Gallé
2024 — conf
LLMCrit: Teaching Large Language Models to Use Criteria.
ACL (Findings)
Weizhe Yuan, Pengfei Liu, Matthias Gallé
2024 J jnl
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.
CoRR
Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2024 J jnl
O1 Replication Journey - Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
CoRR
Zhen Huang, Haoyang Zou, Xuefeng Li, Yixiu Liu, Yuxiang Zheng, Ethan Chern, Shijie Xia, Yiwei Qin, Weizhe Yuan, Pengfei Liu
2024 J jnl
O1 Replication Journey: A Strategic Progress Report - Part 1.
CoRR
Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu
2024 J jnl
Self-Consistency Preference Optimization.
CoRR
Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason Weston, Jane A. Yu
2024 A* conf
Self-Rewarding Language Models.
ICML
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston
2024 J jnl
Self-Rewarding Language Models.
CoRR
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Sainbayar Sukhbaatar, Jing Xu, Jason Weston
2024 J jnl
Self-Taught Evaluators.
CoRR
Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li
2024 — conf
System-Level Natural Language Feedback.
EACL (1)
Weizhe Yuan, Kyunghyun Cho, Jason Weston
2024 — conf
The Critique of Critique.
ACL (Findings)
Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu
2024 J jnl
The Critique of Critique.
CoRR
Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu
2024 J jnl
Thinking LLMs: General Instruction Following with Thought Generation.
CoRR
Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2023 Misc conf
CFFMixer: Multi-Dimensional Feature Fusion for Object Detection.
ICASSP
Hao Xie, Weizhe Yuan, Bin Kang, Songlin Du
2023 J jnl
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.
CoRR
I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
2023 J jnl
Generative Judge for Evaluating Alignment.
CoRR
Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu
2023 J jnl
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.
ACM Comput. Surv.
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
2023 J jnl
System-Level Natural Language Feedback.
CoRR
Weizhe Yuan, Kyunghyun Cho, Jason Weston
2023 — conf
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics.
EMNLP (Findings)
Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu
2022 J jnl
Can We Automate Scientific Reviewing?
J. Artif. Intell. Res.
Weizhe Yuan, Pengfei Liu, Graham Neubig
2022 — conf
DataLab: A Platform for Data Analysis and Intervention.
ACL (demo)
Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
2022 J jnl
DataLab: A Platform for Data Analysis and Intervention.
CoRR
Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
2022 A* conf
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training.
AAAI
Weizhe Yuan, Pengfei Liu
2022 J jnl
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics.
CoRR
Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu
2022 J jnl
reStructured Pre-training.
CoRR
Weizhe Yuan, Pengfei Liu
2021 A* conf
BARTScore: Evaluating Generated Text as Text Generation.
NeurIPS
Weizhe Yuan, Graham Neubig, Pengfei Liu
2021 J jnl
BARTScore: Evaluating Generated Text as Text Generation.
CoRR
Weizhe Yuan, Graham Neubig, Pengfei Liu
2021 J jnl
Can We Automate Scientific Reviewing?
CoRR
Weizhe Yuan, Pengfei Liu, Graham Neubig
2021 J jnl
EXPLAINABOARD: An Explainable Leaderboard for NLP.
CoRR
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
2021 — conf
ExplainaBoard: An Explainable Leaderboard for NLP.
ACL (demo)
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
2021 J jnl
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.
CoRR
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
2017 A* conf
LiveJack: Integrating CDNs and Edge Clouds for Live Content Broadcasting.
ACM Multimedia
Bo Yan, Shu Shi, Yong Liu, Weizhe Yuan, Haoqin He, Rittwik Jana, Yang Xu, H. Jonathan Chao