Richard Yuanzhe Pang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. | Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui |
| 2025 | ICLR | Transformers Struggle to Learn to Search. | Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Mehran Kazemi, Najoung Kim, He He |
| 2025 | ICML | 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 |
| 2025 | NAACL | Self-Generated Critiques Boost Reward Modeling for Language Models. | Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou |
| 2024 | EACL | Leveraging Implicit Feedback from Deployment Data in Dialogue. | Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston |
| 2024 | ICML | Self-Rewarding Language Models. | Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston |
| 2023 | ACL | What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. | Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman |
| 2023 | ACL | Reward Gaming in Conditional Text Generation. | Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He |
| 2023 | ICML | Extrapolative Controlled Sequence Generation via Iterative Refinement. | Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh |
| 2022 | ACL | Token Dropping for Efficient BERT Pretraining. | Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou |
| 2022 | EMNLP | SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. | Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman |
| 2022 | NAACL | QuALITY: Question Answering with Long Input Texts, Yes! | Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman |
| 2021 | ACL | AgreeSum: Agreement-Oriented Multi-Document Summarization. | Richard Yuanzhe Pang, dm Dniel Lelkes, Vinh Q. Tran, Cong Yu |
| 2021 | ACL | Comparing Test Sets with Item Response Theory. | Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman |
| 2021 | ICLR | Text Generation by Learning from Demonstrations. | Richard Yuanzhe Pang, He He |
| 2020 | ACL | Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? | Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman |
| 2020 | ACL | ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. | Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel |
| 2020 | EMNLP | Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. | Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho |
| 2019 | EMNLP | Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. | Richard Yuanzhe Pang, Kevin Gimpel |