D. Bahdanau

Most-cited papers

Neural Machine Translation by Jointly Learning to Align and Translate
D. Bahdanau, Kyunghyun Cho, Yoshua Bengio
2014International Conference on Learning Representations30K citations
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merriënboer, Çaglar Gülçehre, D. Bahdanau +3 more
2014Conference on Empirical Methods in Natural Language Processing28K citations Open access
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
Kyunghyun Cho, Bart van Merriënboer, D. Bahdanau, Yoshua Bengio
2014SSST@EMNLP7,691 citations Open access
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Attention-Based Models for Speech Recognition
J. Chorowski, D. Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho +1 more
2015Neural Information Processing Systems2,793 citations
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Theano: A Python framework for fast computation of mathematical expressions
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller +108 more
2016arXiv.org2,386 citations
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StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff +63 more
2023Trans. Mach. Learn. Res.1,367 citations
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End-to-end attention-based large vocabulary speech recognition
D. Bahdanau, J. Chorowski, Dmitriy Serdyuk, Philémon Brakel +1 more
2015IEEE International Conference on Acoustics, Speech, and Signal Processing1,217 citations Open access
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PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak, Nathan Schucher, D. Bahdanau
2021Conference on Empirical Methods in Natural Language Processing754 citations Open access
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An Actor-Critic Algorithm for Sequence Prediction
D. Bahdanau, Philémon Brakel, Kelvin Xu, Anirudh Goyal +4 more
2016International Conference on Learning Representations680 citations
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LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, D. Bahdanau +2 more
2024arXiv.org600 citations
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The Stack: 3 TB of permissively licensed source code
Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li +9 more
2022Trans. Mach. Learn. Res.524 citations Open access
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End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
J. Chorowski, D. Bahdanau, Kyunghyun Cho, Yoshua Bengio
2014arXiv.org490 citations
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BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, D. Bahdanau, S. Lahlou, Lucas Willems +3 more
2018International Conference on Learning Representations366 citations
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SantaCoder: don't reach for the stars!
Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou +37 more
2023arXiv.org257 citations Open access
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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
Natasha Jaques, Shi-Xiang Gu, D. Bahdanau, José Miguel Hernández-Lobato +2 more
2016International Conference on Machine Learning233 citations
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BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Maxime Chevalier-Boisvert, D. Bahdanau, S. Lahlou, Lucas Willems +3 more
2018arXiv.org195 citations
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Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, D. Bahdanau, V. Dumoulin, Dmitriy Serdyuk +3 more
2015arXiv.org190 citations
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Evaluating the Text-to-SQL Capabilities of Large Language Models
Nitarshan Rajkumar, Raymond Li, D. Bahdanau
2022arXiv.org177 citations Open access
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Learning to Understand Goal Specifications by Modelling Reward
D. Bahdanau, F. Hill, Jan Leike, Edward Hughes +3 more
2018International Conference on Learning Representations172 citations
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Understanding by Understanding Not: Modeling Negation in Language Models
Arian Hosseini, Siva Reddy, D. Bahdanau, R. Devon Hjelm +2 more
2021North American Chapter of the Association for Computational Linguistics112 citations Open access
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CLOSURE: Assessing Systematic Generalization of CLEVR Models
D. Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty +3 more
2019ViGIL@NeurIPS100 citations
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Learning to Compute Word Embeddings On the Fly
D. Bahdanau, T. Bosc, Stanislaw Jastrzebski, Edward Grefenstette +2 more
2017arXiv.org86 citations
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Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation
J. Pouget-Abadie, D. Bahdanau, Bart van Merriënboer, Kyunghyun Cho +1 more
2014SSST@EMNLP86 citations Open access
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Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Gaurav Sahu, Pau Rodríguez López, I. Laradji, Parmida Atighehchian +2 more
2022NLP4CONVAI81 citations Open access
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RepoFusion: Training Code Models to Understand Your Repository
Disha Shrivastava, Denis Kocetkov, Harm de Vries, D. Bahdanau +1 more
2023arXiv.org67 citations Open access
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In-Context Learning for Text Classification with Many Labels
Aristides Milios, Siva Reddy, D. Bahdanau
2023GENBENCH66 citations Open access
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NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild
Shikhar Murty, Hao Zhu, D. Bahdanau, Christopher D. Manning
202464 citations
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Systematic Generalization with Edge Transformers
Leon Bergen, Timothy J. O'Donnell, D. Bahdanau
2021Neural Information Processing Systems64 citations
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Towards Ecologically Valid Research on Language User Interfaces
Harm de Vries, D. Bahdanau, Christopher D. Manning
2020arXiv.org63 citations
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Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Sebastian Gehrmann, H. Strobelt, Alexander M. Rush, Fabio Kepler +496 more
201955 citations Open access
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PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
Gaurav Sahu, Olga Vechtomova, D. Bahdanau, I. Laradji
2023Conference on Empirical Methods in Natural Language Processing44 citations
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PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen +1 more
2025Trans. Mach. Learn. Res.34 citations
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On the Compositional Generalization Gap of In-Context Learning
Arian Hosseini, Ankit Vani, D. Bahdanau, A. Sordoni +1 more
2022BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP34 citations Open access
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Learning to Follow Language Instructions with Adversarial Reward Induction
D. Bahdanau, F. Hill, Jan Leike, Edward Hughes +2 more
2018arXiv.org33 citations
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Task Loss Estimation for Sequence Prediction
D. Bahdanau, Dmitriy Serdyuk, Philémon Brakel, N. Ke +3 more
2015arXiv.org33 citations
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DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, D. Bahdanau, Harm de Vries +1 more
2020North American Chapter of the Association for Computational Linguistics28 citations Open access
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Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanislaw Jastrzebski, D. Bahdanau, Seyedarian Hosseini, Michael Noukhovitch +2 more
2018arXiv.org27 citations Open access
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Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching
Kalika Bali, Pushpak Bhattacharyya, M. Fomicheva, Philipp Koehn +496 more
202126 citations Open access
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Evaluating In-Context Learning of Libraries for Code Generation
Arkil Patel, Siva Reddy, D. Bahdanau, Pradeep Dasigi
2024North American Chapter of the Association for Computational Linguistics21 citations Open access
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Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
B. Klebanov, C. Bryant, Andrew Caines, M. Felice +496 more
202020 citations Open access
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BabyAI 1.1
David Yu-Tung Hui, Maxime Chevalier-Boisvert, D. Bahdanau, Yoshua Bengio
202016 citations
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BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning
Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodriguez +12 more
2025arXiv.org14 citations
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How to Get Your LLM to Generate Challenging Problems for Evaluation
Arkil Patel, S. Reddy, D. Bahdanau
2025arXiv.org14 citations
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TapeAgents: a Holistic Framework for Agent Development and Optimization
D. Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo +9 more
2024arXiv.org12 citations
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Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
O. Bojar, Rajen Chatterjee, C. Federmann, Mark Fishel +496 more
201912 citations Open access
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Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
O. Bojar, Rajen Chatterjee, C. Federmann, Mark Fishel +496 more
201911 citations Open access
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LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, D. Bahdanau, C. Pal
2024Trans. Mach. Learn. Res.9 citations
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MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
Arkil Patel, S. Bhattamishra, Siva Reddy, D. Bahdanau
2023Conference on Empirical Methods in Natural Language Processing9 citations
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LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing
Dora Jambor, D. Bahdanau
2021Annual Meeting of the Association for Computational Linguistics9 citations Open access
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Combating False Negatives in Adversarial Imitation Learning
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui +3 more
2020IEEE International Joint Conference on Neural Network9 citations Open access
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