Dzmitry Bahdanau

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 55

Top Topics

Machine Translation

Semantic Parsing

Top Venues

Publications

Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal
LLMs can learn self-restraint through iterative self-reflection. CoRR (2024)
Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT (2024)
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR (2024)
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. EMNLP (2023)
Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak
RepoFusion: Training Code Models to Understand Your Repository. CoRR (2023)
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. CoRR (2023)
Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
Evaluating In-Context Learning of Libraries for Code Generation. CoRR (2023)
Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra
SantaCoder: don't reach for the stars! CoRR (2023)
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
StarCoder: may the source be with you! CoRR (2023)
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023)
Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP (2023)
Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries
The Stack: 3 TB of permissively licensed source code. Trans. Mach. Learn. Res. 2023 (2023)
Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR (2023)
Aristides Milios, Siva Reddy, Dzmitry Bahdanau
In-Context Learning for Text Classification with Many Labels. CoRR (2023)
Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries
The Stack: 3 TB of permissively licensed source code. CoRR (2022)
Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
Evaluating the Text-to-SQL Capabilities of Large Language Models. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL (2022)
Dora Jambor, Dzmitry Bahdanau
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing. ACL (1) (2022)
Emily Goodwin, Siva Reddy, Timothy O'Donnell, Dzmitry Bahdanau
Compositional Generalization in Dependency Parsing. ACL (1) (2022)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP (2022)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR (2022)
Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention. CoRR (2021)
Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau
Compositional Generalization in Dependency Parsing. CoRR (2021)
Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau
Systematic Generalization with Edge Transformers. NeurIPS (2021)
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR (2021)
Dora Jambor, Dzmitry Bahdanau
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing. CoRR (2021)
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT (2021)
Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau
Systematic Generalization with Edge Transformers. CoRR (2021)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning. IJCNN (2021)
Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. CoRR (2021)
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT (2021)
Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. EMNLP (1) (2021)
Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning
Towards Ecologically Valid Research on Language User Interfaces. CoRR (2020)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI (2020)
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR (2020)
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
BabyAI 1.1. CoRR (2020)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
Combating False Negatives in Adversarial Imitation Learning. CoRR (2020)
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. ICLR (Poster) (2019)
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
Systematic Generalization: What Is Required and Can It Be Learned? ICLR (Poster) (2019)
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville
CLOSURE: Assessing Systematic Generalization of CLEVR Models. CoRR (2019)
Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin
CLOSURE: Assessing Systematic Generalization of CLEVR Models. ViGIL@NeurIPS (2019)
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio
Automated curriculum generation for Policy Gradients from Demonstrations. CoRR (2019)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) (2019)
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. CoRR (2018)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR (2018)
Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung
Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR (2018)
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
Systematic Generalization: What Is Required and Can It Be Learned? CoRR (2018)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) (2018)
Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
Learning to Compute Word Embeddings On the Fly. CoRR (2017)
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML (2017)
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
An Actor-Critic Algorithm for Sequence Prediction. ICLR (Poster) (2017)
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
End-to-end attention-based large vocabulary speech recognition. ICASSP (2016)
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
An Actor-Critic Algorithm for Sequence Prediction. CoRR (2016)
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, KyungHyun Cho, Yoshua Bengio
Attention-Based Models for Speech Recognition. CoRR (2015)
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
End-to-End Attention-based Large Vocabulary Speech Recognition. CoRR (2015)
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio
Attention-Based Models for Speech Recognition. NIPS (2015)
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
Neural Machine Translation by Jointly Learning to Align and Translate. ICLR (2015)
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio
Blocks and Fuel: Frameworks for deep learning. CoRR (2015)
Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio
Task Loss Estimation for Sequence Prediction. CoRR (2015)
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. CoRR (2014)
Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. SSST@EMNLP (2014)
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP (2014)
Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, KyungHyun Cho, Yoshua Bengio
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR (2014)
Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. SSST@EMNLP (2014)
KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. CoRR (2014)