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Richard Yuanzhe Pang
Person information
- affiliation: New York University, NY, USA
Other persons with the same name
- Yuanzhe Pang 0002 — Tsinghua University, China
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2020 – today
- 2024
- [c18]Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston:
Leveraging Implicit Feedback from Deployment Data in Dialogue. EACL (2) 2024: 60-75 - [c17]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. ICML 2024 - [i23]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. CoRR abs/2401.10020 (2024) - [i22]Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston:
Iterative Reasoning Preference Optimization. CoRR abs/2404.19733 (2024) - [i21]Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - [i20]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) - 2023
- [c16]Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He:
Reward Gaming in Conditional Text Generation. ACL (1) 2023: 4746-4763 - [c15]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) 2023: 16334-16368 - [c14]Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh:
Extrapolative Controlled Sequence Generation via Iterative Refinement. ICML 2023: 26792-26808 - [c13]Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He:
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. NeurIPS 2023 - [i19]Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh:
Extrapolative Controlled Sequence Generation via Iterative Refinement. CoRR abs/2303.04562 (2023) - [i18]Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He:
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR abs/2305.15269 (2023) - [i17]Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston:
Leveraging Implicit Feedback from Deployment Data in Dialogue. CoRR abs/2307.14117 (2023) - [i16]David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman:
GPQA: A Graduate-Level Google-Proof Q&A Benchmark. CoRR abs/2311.12022 (2023) - 2022
- [c12]Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou:
Token Dropping for Efficient BERT Pretraining. ACL (1) 2022: 3774-3784 - [c11]Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. EMNLP 2022: 1139-1156 - [c10]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT 2022: 5336-5358 - [i15]Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou:
Token Dropping for Efficient BERT Pretraining. CoRR abs/2203.13240 (2022) - [i14]Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. CoRR abs/2205.11465 (2022) - [i13]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR abs/2208.12852 (2022) - [i12]Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He:
Reward Gaming in Conditional Text Generation. CoRR abs/2211.08714 (2022) - 2021
- [c9]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. ACL/IJCNLP (1) 2021: 1141-1158 - [c8]Richard Yuanzhe Pang, Ádám Dániel Lelkes, Vinh Q. Tran, Cong Yu:
AgreeSum: Agreement-Oriented Multi-Document Summarization. ACL/IJCNLP (Findings) 2021: 3377-3391 - [c7]Richard Yuanzhe Pang, He He:
Text Generation by Learning from Demonstrations. ICLR 2021 - [i11]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. CoRR abs/2106.00840 (2021) - [i10]Richard Yuanzhe Pang, Ádám D. Lelkes, Vinh Q. Tran, Cong Yu:
AgreeSum: Agreement-Oriented Multi-Document Summarization. CoRR abs/2106.02278 (2021) - [i9]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! CoRR abs/2112.08608 (2021) - [i8]Richard Yuanzhe Pang, He He, Kyunghyun Cho:
Amortized Noisy Channel Neural Machine Translation. CoRR abs/2112.08670 (2021) - 2020
- [c6]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman
, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. ACL 2020: 2819-2826 - [c5]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020: 5231-5247 - [c4]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP 2020: 62-73 - [c3]Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho:
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. EMNLP (1) 2020: 5553-5568 - [i7]Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho:
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. CoRR abs/2002.02492 (2020) - [i6]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? CoRR abs/2005.00628 (2020) - [i5]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. CoRR abs/2005.00850 (2020) - [i4]Richard Yuanzhe Pang, He He:
Text Generation by Learning from Off-Policy Demonstrations. CoRR abs/2009.07839 (2020)
2010 – 2019
- 2019
- [c2]Richard Yuanzhe Pang:
Towards Actual (Not Operational) Textual Style Transfer Auto-Evaluation. W-NUT@EMNLP 2019: 444-445 - [c1]Richard Yuanzhe Pang, Kevin Gimpel:
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. NGT@EMNLP-IJCNLP 2019: 138-147 - [i3]Richard Yuanzhe Pang:
The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation. CoRR abs/1910.03747 (2019) - [i2]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. CoRR abs/1911.02891 (2019) - 2018
- [i1]Richard Yuanzhe Pang, Kevin Gimpel:
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora. CoRR abs/1810.11878 (2018)
Coauthor Index
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last updated on 2024-10-04 21:00 CEST by the dblp team
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