Dzmitry Bahdanau — all works
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, et al.2014 · 26,725 citations
- Neural Machine Translation by Jointly Learning to Align and TranslatearXiv:1409.0473Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio2014 · 19,287 citations
- On the Properties of Neural Machine Translation: Encoder-Decoder ApproachesarXiv:1409.1259Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, et al.2014 · 7,803 citations
- Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
- End-to-end attention-based large vocabulary speech recognition ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetDzmitry Bahdanau et al.2016 · 1,179 citations
- StarCoder: may the source be with you! ↗arXiv:2305.06161 · no summary yetRaymond Li et al.2023 · 732 citations
- PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetTorsten Scholak, Nathan Schucher, Dzmitry Bahdanau2021 · 507 citations
- End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results ↗arXiv (Cornell University) · no summary yetJan Chorowski et al.2014 · 416 citations
- An Actor-Critic Algorithm for Sequence PredictionarXiv:1607.07086Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.2016 · 335 citations
- The Stack: 3 TB of permissively licensed source code ↗arXiv:2211.15533 · no summary yetDenis Kocetkov et al.2022 · 235 citations
- LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersarXiv:2404.05961Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 213 citations
- Theano: A Python framework for fast computation of mathematical expressionsarXiv:1605.02688The Theano Development Team, Rami Al-Rfou, Guillaume Alain, et al.2016 · 179 citations
- Blocks and Fuel: Frameworks for deep learning ↗arXiv:1506.00619 · no summary yetBart van Merrienboer et al.2015 · 152 citations
- Data Augmentation for Intent Classification with Off-the-shelf Large Language ModelsWorkshop on Natural Language Processing for Conversational AIGaurav Sahu, Pau Rodriguez, Issam Laradji, et al.2022 · 132 citations
- Evaluating the Text-to-SQL Capabilities of Large Language Models ↗arXiv (Cornell University) · no summary yetNitarshan Rajkumar, Li, Raymond, Dzmitry Bahdanau2022 · 128 citations
- BabyAI: A Platform to Study the Sample Efficiency of Grounded Language LearningarXiv:1810.08272Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.2018 · 123 citations
- Understanding by Understanding Not: Modeling Negation in Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.2021 · 98 citations
- Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation ↗Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation · no summary yetJean Pouget-Abadie et al.2014 · 96 citations
- Learning to Understand Goal Specifications by Modelling Reward ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2018 · 91 citations
- Learning to Compute Word Embeddings On the Fly ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2017 · 91 citations
- Towards Ecologically Valid Research on Language User Interfaces ↗arXiv (Cornell University) · no summary yetHarm de Vries, Dzmitry Bahdanau, Christopher D. Manning2020 · 73 citations
- Systematic Generalization: What Is Required and Can It Be Learned?arXiv:1811.12889Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.2018 · 73 citations
- CLOSURE: Assessing Systematic Generalization of CLEVR Models ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2019 · 67 citations
- In-Context Learning for Text Classification with Many Labels ↗Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP · no summary yetAristides Milios, Siva Reddy, Dzmitry Bahdanau2023 · 60 citations
- Commonsense mining as knowledge base completion? A study on the impact of novelty ↗Proceedings of the Workshop on Generalization in the Age of Deep Learning · no summary yetStanislaw Jastrzębski et al.2018 · 41 citations
- RepoFusion: Training Code Models to Understand Your Repository ↗arXiv (Cornell University) · no summary yetDisha Shrivastava et al.2023 · 29 citations
- Task Loss Estimation for Sequence Prediction ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2015 · 29 citations
- PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetGaurav Sahu et al.2023 · 28 citations
- DuoRAT: Towards Simpler Text-to-SQL Models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetTorsten Scholak et al.2021 · 24 citations
- On the Compositional Generalization Gap of In-Context Learning ↗Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP · no summary yetArian Hosseini et al.2022 · 21 citations
- NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild ↗arXiv (Cornell University) · no summary yetShikhar Murty et al.2024 · 19 citations
- LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDora Jambor, Dzmitry Bahdanau2022 · 13 citations
- Systematic Generalization with Edge Transformers ↗arXiv:2112.00578 · no summary yetLeon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau2021 · 12 citations
- BabyAI 1.1 ↗arXiv (Cornell University) · no summary yetDavid Yu-Tung Hui et al.2020 · 12 citations
- Evaluating In-Context Learning of Libraries for Code Generation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetArkil Patel et al.2024 · 9 citations
- PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation ↗arXiv:2509.19128 · no summary yetAlexandre Piche et al.2025 · 8 citations
- How to Get Your LLM to Generate Challenging Problems for Evaluation ↗arXiv (Cornell University) · no summary yetArkil Patel, Siva Reddy, Dzmitry Bahdanau2025 · 6 citations
- TapeAgents: a Holistic Framework for Agent Development and Optimization ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2024 · 6 citations
- Compositional Generalization in Dependency Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetEmily Goodwin et al.2022 · 6 citations
- MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetArkil Patel et al.2023 · 5 citations
- Task Loss Estimation for Structured Prediction ↗no summary yetDzmitry Bahdanau et al.2016 · 5 citations
- LLMs can learn self-restraint through iterative self-reflection ↗arXiv (Cornell University) · no summary yetAlexandre Piché et al.2024 · 4 citations
- Combating False Negatives in Adversarial Imitation Learning ↗arXiv:2002.00412 · no summary yetKonrad Żołna et al.2021 · 4 citations
- BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning ↗arXiv (Cornell University) · no summary yetAhmed Masry et al.2025 · 3 citations
- Jointly Learning "What" and "How" from Instructions and Goal-States. ↗International Conference on Learning Representations · no summary yetDzmitry Bahdanau et al.2018 · 3 citations
- Automated curriculum generation for Policy Gradients from Demonstrations ↗arXiv (Cornell University) · no summary yetAnirudh Srinivasan et al.2019 · 2 citations
- Smart Decisions by Small Adjustments: Iterating Denoising Autoencoders ↗no summary yetDzmitry Bahdanau, Herbert Jaeger2014 · 2 citations
- Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention ↗arXiv (Cornell University) · no summary yetLeon Bergen, Dzmitry Bahdanau, Timothy J. O’Donnell2021 · 1 citation
- Combating False Negatives in Adversarial Imitation Learning (Student Abstract) ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetKonrad Żołna et al.2020 · 1 citation
- Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications ↗Greater South Information System · no summary yetTakshak Desai et al.2018 · 1 citation
- BRIDGE: Predicting Human Task Completion Time From Model Performance ↗arXiv (Cornell University) · no summary yetFengyuan Liu et al.2026
- Forecasting Downstream Performance of LLMs With Proxy Metrics ↗arXiv (Cornell University) · no summary yetArkil Patel et al.2026
- LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing ↗arXiv (Cornell University) · no summary yetDora Jambor, Dzmitry Bahdanau2021
- Proceedings of the Workshop on Generalization in the Age of Deep Learning ↗Greater South Information System · no summary yetSoumya Wadhwa et al.2018
- エンドツーエンド注意に基づいた大語い音声認識【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetDzmitry Bahdanau et al.2016
- Learning phrase representations using rnn encoderdecoder for statistical machine translation. arXiv preprint arXiv:1406.1078 ↗no summary yetKyunghyun Cho et al.2014
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