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Richard Yuanzhe Pang
Richard Yuanzhe Pang
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Title
Cited by
Cited by
Year
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2922020
Self-Rewarding Language Models
W Yuan, RY Pang, K Cho, S Sukhbaatar, J Xu, J Weston
Proceedings of the 41st International Conference on Machine Learning, 2024
1542024
QuALITY: Question Answering with Long Input Texts, Yes!
RY Pang, A Parrish, N Joshi, N Nangia, J Phang, A Chen, V Padmakumar, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
982022
Text Generation by Learning from Demonstrations
RY Pang, H He
International Conference on Learning Representations 2021, 2021
862021
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
S Welleck, I Kulikov, J Kim, RY Pang, K Cho
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
692020
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
D Rein, BL Hou, AC Stickland, J Petty, RY Pang, J Dirani, J Michael, ...
First Conference on Language Modeling, 2024
622024
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
L Tu, RY Pang, S Wiseman, K Gimpel
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
532020
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
A Saparov, RY Pang, V Padmakumar, N Joshi, SM Kazemi, N Kim, H He
Advances in Neural Information Processing Systems 2023, 2023
392023
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
A Wang, RY Pang, A Chen, J Phang, SR Bowman
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
392022
Token Dropping for Efficient BERT Pretraining
L Hou, RY Pang, T Zhou, Y Wu, X Song, X Song, D Zhou
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
362022
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
33*2023
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
RY Pang, K Gimpel
Proceedings of the 3rd Workshop on Neural Generation and Translation, 138–147, 2019
332019
Comparing Test Sets with Item Response Theory
C Vania, PM Htut, W Huang, D Mungra, RY Pang, J Phang, H Liu, K Cho, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
312021
Iterative Reasoning Preference Optimization
RY Pang, W Yuan, K Cho, H He, S Sukhbaatar, J Weston
arXiv preprint arXiv:2404.19733, 2024
192024
AgreeSum: Agreement-Oriented Multi-Document Summarization
RY Pang, AD Lelkes, VQ Tran, C Yu
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
182021
The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation
RY Pang
arXiv preprint arXiv:1910.03747, 2019
18*2019
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
L Tu, RY Pang, K Gimpel
Proceedings of the 4th Workshop on Structured Prediction for NLP, 62–73, 2020
132020
An Introduction to Vision-Language Modeling
F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...
arXiv preprint arXiv:2405.17247, 2024
112024
Extrapolative Controlled Sequence Generation via Iterative Refinement
V Padmakumar, RY Pang, H He, AP Parikh
Proceedings of the 40th International Conference on Machine Learning, 2023
102023
Reward Gaming in Conditional Text Generation
RY Pang, V Padmakumar, T Sellam, AP Parikh, H He
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
102023
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Articles 1–20