Jonathan Pilault
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
J Pilault, R Li, S Subramanian, C Pal
EMNLP 2020, 9308-9319, 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
J Pilault, A Elhattami, C Pal
ICLR 2021, 2021
On the impressive performance of randomly weighted encoders in summarization tasks
J Pilault, J Park, C Pal
ACL 2019 (workshop), 2019
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
J Pilault, X Garcia, A Bražinskas, O Firat
ICML 2023 (ILHF workshop); IJCNLP-AACL 2023, 2023
Block-State Transformer
J Pilault, M Fathi, PL Bacon, C Pal, O Firat, R Goroshin
arXiv preprint arXiv:2306.09539, 2023
Towards Neural Functional Program Evaluation
T Scholak*, J Pilault*, J Velez-Ginorio
NeurIPS 2021 (AIPLAN workshop), 2021
On Conditional and Compositional Language Model Differentiable Prompting
J Pilault, C Liu, M Bansal, M Dreyer
International Joint Conference on Artificial Intelligence (IJCAI) 2023, 2023
JaxPruner: A concise library for sparsity research
JH Lee, W Park, N Mitchell, J Pilault, J Obando-Ceron, HB Kim, N Lee, ...
arXiv preprint arXiv:2304.14082, 2023
Using Graph Algorithms to Pretrain Graph Completion Transformers
J Pilault, M Galkin, B Fatemi, P Taslakian, D Vasquez, C Pal
arXiv preprint arXiv:2210.07453, 2022
Method of and system for training machine learning algorithm to generate text summary
S Subramanian, R Li, J Pilault, PAL Christophe
US Patent 11,397,892, 2022
Learning to Summarize Long Texts with Memory Compression and Transfer
J Park*, J Pilault*, C Pal
arXiv preprint arXiv:2010.11322, 2020
Evaluating Attention Networks for Anaphora Resolution
J Pilault, N Pappas, L Miculicich Werlen, A Popescu-Belis
Idiap, 2017
Financial Time Series Prediction using Deep Complex Networks
O Sirois*, J Pilault*, A Bento, IM Rodrigues
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