Dzmitry Bahdanau

75 papers A* 6B 1Misc 1Journal 49Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BRIDGE: Predicting Human Task Completion Time From Model Performance. CoRR Fengyuan Liu, Jay Gala, Nilaksh, Dzmitry Bahdanau, Siva Reddy, Hugo Larochelle
2026	J	`jnl`	PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation. Trans. Mach. Learn. Res. Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
2025	J	`jnl`	BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. CoRR Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodríguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vázquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
2025	J	`jnl`	How to Get Your LLM to Generate Challenging Problems for Evaluation. CoRR Arkil Patel, Siva Reddy, Dzmitry Bahdanau
2025	J	`jnl`	LLMs can learn self-restraint through iterative self-reflection. Trans. Mach. Learn. Res. Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal
2025	J	`jnl`	PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation. CoRR Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
2024	—	`conf`	Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
2024	J	`jnl`	LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy
2024	J	`jnl`	LLMs can learn self-restraint through iterative self-reflection. CoRR Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal
2024	J	`jnl`	NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator. CoRR Shikhar Murty, Dzmitry Bahdanau, Christopher D. Manning
2024	J	`jnl`	TapeAgents: a Holistic Framework for Agent Development and Optimization. CoRR Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo, Rafael Pardinas, Alexandre Piché, Torsten Scholak, Oleh Shliazhko, Jordan Prince Tremblay, Karam Ghanem, Soham Parikh, Mitul Tiwari, Quaizar Vohra
2023	J	`jnl`	Evaluating In-Context Learning of Libraries for Code Generation. CoRR Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
2023	J	`jnl`	In-Context Learning for Text Classification with Many Labels. CoRR Aristides Milios, Siva Reddy, Dzmitry Bahdanau
2023	A*	`conf`	MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. EMNLP Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
2023	J	`jnl`	MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. CoRR Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
2023	A*	`conf`	PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
2023	J	`jnl`	PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
2023	J	`jnl`	RepoFusion: Training Code Models to Understand Your Repository. CoRR Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak
2023	J	`jnl`	SantaCoder: don't reach for the stars! CoRR 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
2023	J	`jnl`	StarCoder: may the source be with you! CoRR 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 Moustafa-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
2023	J	`jnl`	StarCoder: may the source be with you! Trans. Mach. Learn. Res. 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
2023	J	`jnl`	The Stack: 3 TB of permissively licensed source code. Trans. Mach. Learn. Res. 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
2022	—	`conf`	Compositional Generalization in Dependency Parsing. ACL (1) Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau
2022	—	`conf`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Evaluating the Text-to-SQL Capabilities of Large Language Models. CoRR Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
2022	—	`conf`	LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing. ACL (1) Dora Jambor, Dzmitry Bahdanau
2022	—	`conf`	On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2022	J	`jnl`	On the Compositional Generalization Gap of In-Context Learning. CoRR Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2022	J	`jnl`	The Stack: 3 TB of permissively licensed source code. CoRR 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
2021	B	`conf`	Combating False Negatives in Adversarial Imitation Learning. IJCNN Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2021	J	`jnl`	Compositional Generalization in Dependency Parsing. CoRR Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau
2021	—	`conf`	DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2021	J	`jnl`	Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention. CoRR Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell
2021	J	`jnl`	LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing. CoRR Dora Jambor, Dzmitry Bahdanau
2021	—	`conf`	PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. EMNLP (1) Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
2021	J	`jnl`	PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. CoRR Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
2021	A*	`conf`	Systematic Generalization with Edge Transformers. NeurIPS Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau
2021	J	`jnl`	Systematic Generalization with Edge Transformers. CoRR Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau
2021	—	`conf`	Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
2021	J	`jnl`	Understanding by Understanding Not: Modeling Negation in Language Models. CoRR Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
2020	J	`jnl`	BabyAI 1.1. CoRR David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020	A*	`conf`	Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020	J	`jnl`	Combating False Negatives in Adversarial Imitation Learning. CoRR Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020	J	`jnl`	DuoRAT: Towards Simpler Text-to-SQL Models. CoRR Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2020	J	`jnl`	Towards Ecologically Valid Research on Language User Interfaces. CoRR Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning
2019	J	`jnl`	Automated curriculum generation for Policy Gradients from Demonstrations. CoRR Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio
2019	—	`conf`	BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. ICLR (Poster) Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio
2019	—	`conf`	CLOSURE: Assessing Systematic Generalization of CLEVR Models. ViGIL@NeurIPS Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin
2019	J	`jnl`	CLOSURE: Assessing Systematic Generalization of CLEVR Models. CoRR Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville
2019	—	`conf`	Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
2019	—	`conf`	Systematic Generalization: What Is Required and Can It Be Learned? ICLR (Poster) Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
2018	J	`jnl`	BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. CoRR Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio
2018	J	`jnl`	Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung
2018	—	`conf`	Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
2018	J	`jnl`	Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
2018	J	`jnl`	Systematic Generalization: What Is Required and Can It Be Learned? CoRR Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
2017	—	`conf`	An Actor-Critic Algorithm for Sequence Prediction. ICLR (Poster) Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	Learning to Compute Word Embeddings On the Fly. CoRR Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
2017	A*	`conf`	Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck
2016	J	`jnl`	An Actor-Critic Algorithm for Sequence Prediction. CoRR Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2016	Misc	`conf`	End-to-end attention-based large vocabulary speech recognition. ICASSP Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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
2015	—	`conf`	Attention-Based Models for Speech Recognition. NIPS Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio
2015	J	`jnl`	Attention-Based Models for Speech Recognition. CoRR Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio
2015	J	`jnl`	Blocks and Fuel: Frameworks for deep learning. CoRR Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio
2015	J	`jnl`	End-to-End Attention-based Large Vocabulary Speech Recognition. CoRR Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
2015	—	`conf`	Neural Machine Translation by Jointly Learning to Align and Translate. ICLR Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
2015	J	`jnl`	Task Loss Estimation for Sequence Prediction. CoRR Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio
2014	J	`jnl`	End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. CoRR Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
2014	A*	`conf`	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio
2014	—	`conf`	On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. SSST@EMNLP Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio
2014	J	`jnl`	On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. CoRR Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio
2014	—	`conf`	Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. SSST@EMNLP Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio
2014	J	`jnl`	Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio