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Weizhe Yuan
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2020 – today
- 2024
- [c12]Weizhe Yuan, Pengfei Liu, Matthias Gallé:
LLMCrit: Teaching Large Language Models to Use Criteria. ACL (Findings) 2024: 7929-7960 - [c11]Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu:
The Critique of Critique. ACL (Findings) 2024: 9077-9096 - [c10]Weizhe Yuan, Kyunghyun Cho, Jason Weston:
System-Level Natural Language Feedback. EACL (1) 2024: 2773-2789 - [c9]Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu:
Generative Judge for Evaluating Alignment. ICLR 2024 - [c8]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. ICML 2024 - [i19]Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu:
The Critique of Critique. CoRR abs/2401.04518 (2024) - [i18]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. CoRR abs/2401.10020 (2024) - [i17]Weizhe Yuan, Pengfei Liu, Matthias Gallé:
LLMCRIT: Teaching Large Language Models to Use Criteria. CoRR abs/2403.01069 (2024) - [i16]Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston:
Iterative Reasoning Preference Optimization. CoRR abs/2404.19733 (2024) - [i15]Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu:
Following Length Constraints in Instructions. CoRR abs/2406.17744 (2024) - [i14]Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar:
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. CoRR abs/2407.19594 (2024) - [i13]Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li:
Self-Taught Evaluators. CoRR abs/2408.02666 (2024) - [i12]Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar:
Thinking LLMs: General Instruction Following with Thought Generation. CoRR abs/2410.10630 (2024) - [i11]Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu:
O1 Replication Journey: A Strategic Progress Report - Part 1. CoRR abs/2410.18982 (2024) - 2023
- [j2]Pengfei Liu
, Weizhe Yuan
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55(9): 195:1-195:35 (2023) - [c7]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. EMNLP (Findings) 2023: 15185-15202 - [c6]Hao Xie, Weizhe Yuan, Bin Kang, Songlin Du:
CFFMixer: Multi-Dimensional Feature Fusion for Object Detection. ICASSP 2023: 1-5 - [i10]Weizhe Yuan, Kyunghyun Cho, Jason Weston:
System-Level Natural Language Feedback. CoRR abs/2306.13588 (2023) - [i9]I-Chun Chern, Steffi Chern, Shiqi Chen
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i8]Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu:
Generative Judge for Evaluating Alignment. CoRR abs/2310.05470 (2023) - 2022
- [j1]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? J. Artif. Intell. Res. 75: 171-212 (2022) - [c5]Weizhe Yuan, Pengfei Liu:
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. AAAI 2022: 11639-11647 - [c4]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [i7]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i6]Weizhe Yuan, Pengfei Liu:
reStructured Pre-training. CoRR abs/2206.11147 (2022) - [i5]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. CoRR abs/2212.05726 (2022) - 2021
- [c3]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c2]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. NeurIPS 2021: 27263-27277 - [i4]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? CoRR abs/2102.00176 (2021) - [i3]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i2]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. CoRR abs/2106.11520 (2021) - [i1]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR abs/2107.13586 (2021)
2010 – 2019
- 2017
- [c1]Bo Yan, Shu Shi, Yong Liu, Weizhe Yuan, Haoqin He, Rittwik Jana, Yang Xu
LiveJack: Integrating CDNs and Edge Clouds for Live Content Broadcasting. ACM Multimedia 2017: 73-81
Coauthor Index
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last updated on 2024-11-30 00:18 CET by the dblp team
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