Richard Yuanzhe Pang

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?

Yada Pruksachatkun, Jason Phang, Haokun Liu et al. · 2020 · 168 citations · Full text

Computing, Computer Science, Computational Linguistics +10

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

Yada Pruksachatkun, Jason Phang, Haokun Liu et al. · arXiv (Cornell University) · 2020 · 53 citations · Full text

Computing, Computer Science, Knowledge Representation +15

QuALITY: Question Answering with Long Input Texts, Yes!

Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi et al. · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · 2022 · 42 citations · Full text

Computing, Computer Science, Linguistics +15

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation

Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman et al. · 2020 · 40 citations · Full text

Humanities, Computer Science, Translation Studies +11

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding

Sean Welleck, Ilia Kulikov, Jaedeok Kim et al. · 2020 · 37 citations · Full text

Computing, Computer Science, Computational Linguistics +12