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Dzmitry Bahdanau
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2020 – today
- 2024
- [c25]Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi:
Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT 2024: 2908-2926 - [i41]Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy:
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR abs/2404.05961 (2024) - [i40]Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal:
LLMs can learn self-restraint through iterative self-reflection. CoRR abs/2405.13022 (2024) - [i39]Shikhar Murty, Dzmitry Bahdanau, Christopher D. Manning:
NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator. CoRR abs/2410.02907 (2024) - 2023
- [j2]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) - [j1]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:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c24]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: 2167-2189 - [c23]Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji:
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP 2023: 5316-5327 - [i38]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 abs/2301.03988 (2023) - [i37]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
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i36]Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak:
RepoFusion: Training Code Models to Understand Your Repository. CoRR abs/2306.10998 (2023) - [i35]Aristides Milios, Siva Reddy, Dzmitry Bahdanau:
In-Context Learning for Text Classification with Many Labels. CoRR abs/2309.10954 (2023) - [i34]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 abs/2310.11634 (2023) - [i33]Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji:
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR abs/2310.14192 (2023) - [i32]Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi:
Evaluating In-Context Learning of Libraries for Code Generation. CoRR abs/2311.09635 (2023) - 2022
- [c22]Dora Jambor, Dzmitry Bahdanau:
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing. ACL (1) 2022: 3295-3308 - [c21]Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau:
Compositional Generalization in Dependency Parsing. ACL (1) 2022: 6482-6493 - [c20]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: 47-57 - [c19]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP 2022: 272-280 - [i31]Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau:
Evaluating the Text-to-SQL Capabilities of Large Language Models. CoRR abs/2204.00498 (2022) - [i30]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 abs/2204.01959 (2022) - [i29]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. CoRR abs/2211.08473 (2022) - [i28]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 abs/2211.15533 (2022) - 2021
- [c18]Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau:
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. EMNLP (1) 2021: 9895-9901 - [c17]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: 1-9 - [c16]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: 1301-1312 - [c15]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT 2021: 1313-1321 - [c14]Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau:
Systematic Generalization with Edge Transformers. NeurIPS 2021: 1390-1402 - [i27]Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell:
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention. CoRR abs/2104.06645 (2021) - [i26]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR abs/2105.03519 (2021) - [i25]Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau:
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. CoRR abs/2109.05093 (2021) - [i24]Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau:
Compositional Generalization in Dependency Parsing. CoRR abs/2110.06843 (2021) - [i23]Dora Jambor, Dzmitry Bahdanau:
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing. CoRR abs/2110.07572 (2021) - [i22]Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau:
Systematic Generalization with Edge Transformers. CoRR abs/2112.00578 (2021) - 2020
- [c13]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: 13999-14000 - [i21]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 abs/2002.00412 (2020) - [i20]David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
BabyAI 1.1. CoRR abs/2007.12770 (2020) - [i19]Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning
Towards Ecologically Valid Research on Language User Interfaces. CoRR abs/2007.14435 (2020) - [i18]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR abs/2010.11119 (2020)
2010 – 2019
- 2019
- [c12]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 - [c11]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 - [c10]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 - [i17]Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin:
CLOSURE: Assessing Systematic Generalization of CLEVR Models. ViGIL@NeurIPS 2019 - [i16]Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio:
Automated curriculum generation for Policy Gradients from Demonstrations. CoRR abs/1912.00444 (2019) - [i15]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 abs/1912.05783 (2019) - 2018
- [c9]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 - [i14]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 abs/1804.09259 (2018) - [i13]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR abs/1806.01946 (2018) - [i12]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 abs/1810.08272 (2018) - [i11]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 abs/1811.12889 (2018) - 2017
- [c8]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 - [c7]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: 1645-1654 - [i10]Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio:
Learning to Compute Word Embeddings On the Fly. CoRR abs/1706.00286 (2017) - 2016
- [c6]Dzmitry Bahdanau, Jan Chorowski
End-to-end attention-based large vocabulary speech recognition. ICASSP 2016: 4945-4949 - [i9]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 abs/1605.02688 (2016) - [i8]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 abs/1607.07086 (2016) - 2015
- [c5]Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio:
Attention-Based Models for Speech Recognition. NIPS 2015: 577-585 - [c4]Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio:
Neural Machine Translation by Jointly Learning to Align and Translate. ICLR 2015 - [i7]Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio:
Blocks and Fuel: Frameworks for deep learning. CoRR abs/1506.00619 (2015) - [i6]Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, KyungHyun Cho, Yoshua Bengio:
Attention-Based Models for Speech Recognition. CoRR abs/1506.07503 (2015) - [i5]Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio:
End-to-End Attention-based Large Vocabulary Speech Recognition. CoRR abs/1508.04395 (2015) - [i4]Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio:
Task Loss Estimation for Sequence Prediction. CoRR abs/1511.06456 (2015) - 2014
- [c3]Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP 2014: 1724-1734 - [c2]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: 78-85 - [c1]Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio:
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. SSST@EMNLP 2014: 103-111 - [i3]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 abs/1409.1257 (2014) - [i2]KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio:
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. CoRR abs/1409.1259 (2014) - [i1]Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio:
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. CoRR abs/1412.1602 (2014)
Coauthor Index
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last updated on 2024-11-08 20:26 CET by the dblp team
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