LiveJack: Integrating CDNs and Edge Clouds for Live Content Broadcasting. - Bo Yan 004; Shu Shi; Yong Liu 013; Weizhe Yuan; Haoqin He; Rittwik Jana; Yang Xu 010; H. Jonathan Chao (ACM Multimedia, 2017)

ExplainaBoard: An Explainable Leaderboard for NLP. - Pengfei Liu 003; Jinlan Fu; Yang Xiao; Weizhe Yuan; Shuaichen Chang; Junqi Dai; Yixin Liu 003; Zihuiwen Ye; Graham Neubig (ACL (demo), 2021)

BARTScore: Evaluating Generated Text as Text Generation. - Weizhe Yuan; Graham Neubig; Pengfei Liu 003 (NeurIPS, 2021)

KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. - Weizhe Yuan; Pengfei Liu 003 (AAAI, 2022)

DataLab: A Platform for Data Analysis and Intervention. - Yang Xiao; Jinlan Fu; Weizhe Yuan; Vijay Viswanathan 002; Zhoumianze Liu; Yixin Liu 003; Graham Neubig; Pengfei Liu 003 (ACL (demo), 2022)

reStructured Pre-training. - Weizhe Yuan; Pengfei Liu 003 (CoRR, 2022)

Can We Automate Scientific Reviewing? - Weizhe Yuan; Pengfei Liu 003; Graham Neubig (J. Artif. Intell. Res., 2022)

T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. - Yiwei Qin; Weizhe Yuan; Graham Neubig; Pengfei Liu 003 (EMNLP (Findings), 2023)

CFFMixer: Multi-Dimensional Feature Fusion for Object Detection. - Hao Xie; Weizhe Yuan; Bin Kang; Songlin Du (ICASSP, 2023)

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. - I-Chun Chern; Steffi Chern; Shiqi Chen; Weizhe Yuan; Kehua Feng; Chunting Zhou; Junxian He; Graham Neubig; Pengfei Liu 003 (CoRR, 2023)

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. - Pengfei Liu 003; Weizhe Yuan; Jinlan Fu; Zhengbao Jiang; Hiroaki Hayashi; Graham Neubig (ACM Comput. Surv., 2023)

The Critique of Critique. - Shichao Sun; Junlong Li; Weizhe Yuan; Ruifeng Yuan; Wenjie Li 002; Pengfei Liu 003 (ACL (Findings), 2024)

LLMCrit: Teaching Large Language Models to Use Criteria. - Weizhe Yuan; Pengfei Liu 003; Matthias Gallé (ACL (Findings), 2024)

System-Level Natural Language Feedback. - Weizhe Yuan; Kyunghyun Cho; Jason Weston (EACL (1), 2024)

Generative Judge for Evaluating Alignment. - Junlong Li; Shichao Sun; Weizhe Yuan; Run-Ze Fan; Hai Zhao 001; Pengfei Liu 003 (ICLR, 2024)

Self-Rewarding Language Models. - Weizhe Yuan; Richard Yuanzhe Pang; Kyunghyun Cho; Xian Li 003; Sainbayar Sukhbaatar; Jing Xu; Jason Weston (ICML, 2024)

Iterative Reasoning Preference Optimization. - Richard Yuanzhe Pang; Weizhe Yuan; He He 001; Kyunghyun Cho; Sainbayar Sukhbaatar; Jason Weston (NeurIPS, 2024)

Self-Rewarding Language Models. - Weizhe Yuan; Richard Yuanzhe Pang; Kyunghyun Cho; Sainbayar Sukhbaatar; Jing Xu; Jason Weston (CoRR, 2024)

Following Length Constraints in Instructions. - Weizhe Yuan; Ilia Kulikov; Ping Yu; Kyunghyun Cho; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2024)

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. - Tianhao Wu 002; Weizhe Yuan; Olga Golovneva; Jing Xu; Yuandong Tian; Jiantao Jiao; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

Thinking LLMs: General Instruction Following with Thought Generation. - Tianhao Wu 002; Janice Lan; Weizhe Yuan; Jiantao Jiao; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

O1 Replication Journey: A Strategic Progress Report - Part 1. - Yiwei Qin; Xuefeng Li 003; Haoyang Zou; Yixiu Liu; Shijie Xia; Zhen Huang; Yixin Ye; Weizhe Yuan; Hector Liu; Yuanzhi Li; Pengfei Liu 003 (CoRR, 2024)

Self-Consistency Preference Optimization. - Archiki Prasad; Weizhe Yuan; Richard Yuanzhe Pang; Jing Xu; Maryam Fazel-Zarandi; Mohit Bansal; Sainbayar Sukhbaatar; Jason Weston; Jane A. Yu (CoRR, 2024)

O1 Replication Journey - Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? - Zhen Huang; Haoyang Zou; Xuefeng Li 003; Yixiu Liu; Yuxiang Zheng; Ethan Chern; Shijie Xia; Yiwei Qin; Weizhe Yuan; Pengfei Liu 003 (CoRR, 2024)

R.I.P.: Better Models by Survival of the Fittest Prompts. - Ping Yu; Weizhe Yuan; Olga Golovneva; Tianhao Wu 002; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 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 003 (CoRR, 2025)

An Overview of Large Language Models for Statisticians. - 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 (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. - Yang Li; Youssef Emad; Karthik Padthe; Jack Lanchantin; Weizhe Yuan; Thao Nguyen; Jason Weston; Shang-Wen Li 001; Dong Wang; Ilia Kulikov; Xian Li 003 (CoRR, 2025)

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks. - Ping Yu; Jack Lanchantin; Tianlu Wang; Weizhe Yuan; Olga Golovneva; Ilia Kulikov; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2025)