Phu Mon Htut

According to our database, Phu Mon Htut authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Findings of the IWSLT 2023 Evaluation Campaign.

Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation.

Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

(QA)²: Question Answering with Questionable Assumptions.

Najoung Kim, Phu Mon Htut, Samuel R. Bowman, Jackson Petty

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

(QA)²: Question Answering with Questionable Assumptions.

Najoung Kim, Phu Mon Htut, Samuel R. Bowman, Jackson Petty

CoRR, 2022

BBQ: A hand-built bias benchmark for question answering.

Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory.

Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: 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

CoRR, 2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.

Jason Phang, Iacer Calixto, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models.

Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Do Attention Heads in BERT Track Syntactic Dependencies?

Phu Mon Htut, Jason Phang, Shikha Bordia, Samuel R. Bowman

CoRR, 2019

Generalized Inner Loop Meta-Learning.

Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

CoRR, 2019

Inducing Constituency Trees through Neural Machine Translation.

Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman

CoRR, 2019

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs.

Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction.

Phu Mon Htut, Joel R. Tetreault

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018

Training a Ranking Function for Open-Domain Question Answering.

Phu Mon Htut, Samuel R. Bowman, Kyunghyun Cho

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Grammar Induction with Neural Language Models: An Unusual Replication.

Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018