Phu Mon Htut
Phu Mon Htut
PhD Candidate, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Training a ranking function for open-domain question answering
PM Htut, SR Bowman, K Cho
arXiv preprint arXiv:1804.04264, 2018
262018
Grammar induction with neural language models: An unusual replication
PM Htut, K Cho, SR Bowman
arXiv preprint arXiv:1808.10000, 2018
252018
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
A Warstadt, Y Cao, I Grosu, W Peng, H Blix, Y Nie, A Alsop, S Bordia, ...
arXiv preprint arXiv:1909.02597, 2019
232019
jiant 1.2: A software toolkit for research on general-purpose text understanding models
A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ...
Note: http://jiant. info/Cited by: footnote 4, 2019
142019
Generalized inner loop meta-learning
E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ...
arXiv preprint arXiv:1910.01727, 2019
122019
Do Attention Heads in BERT Track Syntactic Dependencies?
PM Htut, J Phang, S Bordia, SR Bowman
arXiv preprint arXiv:1911.12246, 2019
102019
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, ...
arXiv preprint arXiv:2005.00628, 2020
22020
The unbearable weight of generating artificial errors for grammatical error correction
PM Htut, J Tetreault
arXiv preprint arXiv:1907.08889, 2019
22019
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
J Phang, PM Htut, Y Pruksachatkun, H Liu, C Vania, K Kann, I Calixto, ...
arXiv preprint arXiv:2005.13013, 2020
12020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Y Pruksachatkun, P Yeres, H Liu, J Phang, PM Htut, A Wang, I Tenney, ...
arXiv preprint arXiv:2003.02249, 2020
2020
Inducing Constituency Trees through Neural Machine Translation
PM Htut, K Cho, SR Bowman
arXiv preprint arXiv:1909.10056, 2019
2019
higher: A Pytorch Meta-Learning Library
E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ...
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