Dzmitry Bahdanau

According to our database, Dzmitry Bahdanau authored at least 49 papers between 2014 and 2024.

Collaborative distances:

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

2024

NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator.

Shikhar Murty, Dzmitry Bahdanau, Christopher D. Manning

CoRR, 2024

LLMs can learn self-restraint through iterative self-reflection.

Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal

CoRR, 2024

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy

CoRR, 2024

Evaluating In-Context Learning of Libraries for Code Generation.

Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

StarCoder: may the source be with you!

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 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

Trans. Mach. Learn. Res., 2023

The Stack: 3 TB of permissively licensed source code.

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

Trans. Mach. Learn. Res., 2023

In-Context Learning for Text Classification with Many Labels.

Aristides Milios, Siva Reddy, Dzmitry Bahdanau

CoRR, 2023

RepoFusion: Training Code Models to Understand Your Repository.

Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak

CoRR, 2023

SantaCoder: don't reach for the stars!

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

CoRR, 2023

PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation.

Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.

Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Evaluating the Text-to-SQL Capabilities of Large Language Models.

Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau

CoRR, 2022

On the Compositional Generalization Gap of In-Context Learning.

Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing.

Dora Jambor, Dzmitry Bahdanau

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Compositional Generalization in Dependency Parsing.

Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.

Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing.

Dora Jambor, Dzmitry Bahdanau

CoRR, 2021

Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.

Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell

CoRR, 2021

Systematic Generalization with Edge Transformers.

Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DuoRAT: Towards Simpler Text-to-SQL Models.

Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Understanding by Understanding Not: Modeling Negation in Language Models.

Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Combating False Negatives in Adversarial Imitation Learning.

Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

Proceedings of the International Joint Conference on Neural Networks, 2021

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models.

Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Towards Ecologically Valid Research on Language User Interfaces.

Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning

CoRR, 2020

BabyAI 1.1.

David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

CoRR, 2020

Combating False Negatives in Adversarial Imitation Learning (Student Abstract).

Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville

CoRR, 2019

Automated curriculum generation for Policy Gradients from Demonstrations.

Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio

CoRR, 2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning.

Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio

Proceedings of the 7th International Conference on Learning Representations, 2019

Systematic Generalization: What Is Required and Can It Be Learned?

Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Understand Goal Specifications by Modelling Reward.

Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.

Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio

CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.

Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette

CoRR, 2018

Commonsense mining as knowledge base completion? A study on the impact of novelty.

Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung

CoRR, 2018

Jointly Learning "What" and "How" from Instructions and Goal-States.

Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning to Compute Word Embeddings On the Fly.

Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio

CoRR, 2017

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.

Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck

Proceedings of the 34th International Conference on Machine Learning, 2017

An Actor-Critic Algorithm for Sequence Prediction.

Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Theano: A Python framework for fast computation of mathematical expressions.

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

CoRR, 2016

End-to-end attention-based large vocabulary speech recognition.

Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Blocks and Fuel: Frameworks for deep learning.

Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio

CoRR, 2015

Task Loss Estimation for Sequence Prediction.

Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio

CoRR, 2015

Neural Machine Translation by Jointly Learning to Align and Translate.

Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio

Proceedings of the 3rd International Conference on Learning Representations, 2015

Attention-Based Models for Speech Recognition.

Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.

Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio

CoRR, 2014

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.

Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio

Proceedings of SSST@EMNLP 2014, 2014

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio

Proceedings of SSST@EMNLP 2014, 2014

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014