---
title: "Dzmitry Bahdanau — all works — Elamur Research"
description: "All 56 works of Dzmitry Bahdanau in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/dzmitry-bahdanau/works/"
---
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# Dzmitry Bahdanau — all works

56 works · [← Dzmitry Bahdanau](https://md.research.elamur.ai/free/en/authors/dzmitry-bahdanau/)

1. **[Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/cho-2014-learning-phrase-representations-rnn-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, et al.*2014 · 26,725 citations*
2. [**Neural Machine Translation by Jointly Learning to Align and Translate arXiv:1409.0473**Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio*2014 · 19,287 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2014-neural-machine-translation-jointly-learning/)
3. [**On the Properties of Neural Machine Translation: Encoder-Decoder Approaches arXiv:1409.1259**Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, et al.*2014 · 7,803 citations*](https://md.research.elamur.ai/free/en/papers/cho-2014-properties-neural-machine-translation-encoder/)
4. [**Attention-Based Models for Speech Recognition arXiv:1506.07503**Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.*2015 · 1,819 citations*](https://md.research.elamur.ai/free/en/papers/chorowski-2015-attention-based-models-speech-recognition/)
5. **[End-to-end attention-based large vocabulary speech recognition ↗](https://doi.org/10.1109/icassp.2016.7472618) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Dzmitry Bahdanau et al.*2016 · 1,179 citations*
6. **[StarCoder: may the source be with you! ↗](https://arxiv.org/abs/2305.06161) arXiv:2305.06161 · no summary yet**Raymond Li et al.*2023 · 732 citations*
7. **[PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models ↗](https://aclanthology.org/2021.emnlp-main.779/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau*2021 · 507 citations*
8. **[End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results ↗](https://arxiv.org/abs/1412.1602) arXiv (Cornell University) · no summary yet**Jan Chorowski et al.*2014 · 416 citations*
9. [**An Actor-Critic Algorithm for Sequence Prediction arXiv:1607.07086**Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.*2016 · 335 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2016-actor-critic-algorithm-sequence-prediction/)
10. **[The Stack: 3 TB of permissively licensed source code ↗](https://arxiv.org/abs/2211.15533) arXiv:2211.15533 · no summary yet**Denis Kocetkov et al.*2022 · 235 citations*
11. [**LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders arXiv:2404.05961**Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.*2024 · 213 citations*](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/)
12. [**Theano: A Python framework for fast computation of mathematical expressions arXiv:1605.02688**The Theano Development Team, Rami Al-Rfou, Guillaume Alain, et al.*2016 · 179 citations*](https://md.research.elamur.ai/free/en/papers/the-theano-development-team-2016-theano-python-framework-fast-computation/)
13. **[Blocks and Fuel: Frameworks for deep learning ↗](https://arxiv.org/abs/1506.00619) arXiv:1506.00619 · no summary yet**Bart van Merrienboer et al.*2015 · 152 citations*
14. **[Data Augmentation for Intent Classification with Off-the-shelf Large Language Models](https://md.research.elamur.ai/free/en/papers/sahu-2022-data-augmentation-intent-classification-off/) [Workshop on Natural Language Processing for Conversational AI](https://md.research.elamur.ai/free/en/venues/nlp4convai/)**Gaurav Sahu, Pau Rodriguez, Issam Laradji, et al.*2022 · 132 citations*
15. **[Evaluating the Text-to-SQL Capabilities of Large Language Models ↗](https://arxiv.org/abs/2204.00498) arXiv (Cornell University) · no summary yet**Nitarshan Rajkumar, Li, Raymond, Dzmitry Bahdanau*2022 · 128 citations*
16. [**BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning arXiv:1810.08272**Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.*2018 · 123 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-boisvert-2018-babyai-platform-study-sample-efficiency/)
17. **[Understanding by Understanding Not: Modeling Negation in Language Models](https://md.research.elamur.ai/free/en/papers/hosseini-2021-understanding-understanding-not-modeling-negation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.*2021 · 98 citations*
18. **[Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation ↗](https://aclanthology.org/W14-4009/) Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation · no summary yet**Jean Pouget-Abadie et al.*2014 · 96 citations*
19. **[Learning to Understand Goal Specifications by Modelling Reward ↗](https://arxiv.org/abs/1806.01946) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2018 · 91 citations*
20. **[Learning to Compute Word Embeddings On the Fly ↗](https://arxiv.org/abs/1706.00286) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2017 · 91 citations*
21. **[Towards Ecologically Valid Research on Language User Interfaces ↗](https://arxiv.org/abs/2007.14435) arXiv (Cornell University) · no summary yet**Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning*2020 · 73 citations*
22. [**Systematic Generalization: What Is Required and Can It Be Learned? arXiv:1811.12889**Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.*2018 · 73 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2018-systematic-generalization-required-learned/)
23. **[CLOSURE: Assessing Systematic Generalization of CLEVR Models ↗](https://arxiv.org/abs/1912.05783) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2019 · 67 citations*
24. **[In-Context Learning for Text Classification with Many Labels ↗](https://aclanthology.org/2023.genbench-1.14/) Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP · no summary yet**Aristides Milios, Siva Reddy, Dzmitry Bahdanau*2023 · 60 citations*
25. **[Commonsense mining as knowledge base completion? A study on the impact of novelty ↗](https://aclanthology.org/W18-1002/) Proceedings of the Workshop on Generalization in the Age of Deep Learning · no summary yet**Stanislaw Jastrzębski et al.*2018 · 41 citations*
26. **[RepoFusion: Training Code Models to Understand Your Repository ↗](https://arxiv.org/abs/2306.10998) arXiv (Cornell University) · no summary yet**Disha Shrivastava et al.*2023 · 29 citations*
27. **[Task Loss Estimation for Sequence Prediction ↗](https://arxiv.org/abs/1511.06456) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2015 · 29 citations*
28. **[PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation ↗](https://aclanthology.org/2023.emnlp-main.323/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Gaurav Sahu et al.*2023 · 28 citations*
29. **[DuoRAT: Towards Simpler Text-to-SQL Models ↗](https://aclanthology.org/2021.naacl-main.103/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Torsten Scholak et al.*2021 · 24 citations*
30. **[On the Compositional Generalization Gap of In-Context Learning ↗](https://aclanthology.org/2022.blackboxnlp-1.22/) Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP · no summary yet**Arian Hosseini et al.*2022 · 21 citations*
31. **[NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild ↗](https://arxiv.org/abs/2410.02907) arXiv (Cornell University) · no summary yet**Shikhar Murty et al.*2024 · 19 citations*
32. **[LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing ↗](https://aclanthology.org/2022.acl-long.233/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dora Jambor, Dzmitry Bahdanau*2022 · 13 citations*
33. **[Systematic Generalization with Edge Transformers ↗](https://arxiv.org/abs/2112.00578) arXiv:2112.00578 · no summary yet**Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau*2021 · 12 citations*
34. **[BabyAI 1.1 ↗](https://arxiv.org/abs/2007.12770) arXiv (Cornell University) · no summary yet**David Yu-Tung Hui et al.*2020 · 12 citations*
35. **[Evaluating In-Context Learning of Libraries for Code Generation ↗](https://aclanthology.org/2024.naacl-long.161/) 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 yet**Arkil Patel et al.*2024 · 9 citations*
36. **[PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation ↗](https://arxiv.org/abs/2509.19128) arXiv:2509.19128 · no summary yet**Alexandre Piche et al.*2025 · 8 citations*
37. **[How to Get Your LLM to Generate Challenging Problems for Evaluation ↗](https://arxiv.org/abs/2502.14678) arXiv (Cornell University) · no summary yet**Arkil Patel, Siva Reddy, Dzmitry Bahdanau*2025 · 6 citations*
38. **[TapeAgents: a Holistic Framework for Agent Development and Optimization ↗](https://arxiv.org/abs/2412.08445) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2024 · 6 citations*
39. **[Compositional Generalization in Dependency Parsing ↗](https://aclanthology.org/2022.acl-long.448/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Emily Goodwin et al.*2022 · 6 citations*
40. **[MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations ↗](https://aclanthology.org/2023.emnlp-main.134/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Arkil Patel et al.*2023 · 5 citations*
41. **[Task Loss Estimation for Structured Prediction ↗](https://openalex.org/W2906030164) no summary yet**Dzmitry Bahdanau et al.*2016 · 5 citations*
42. **[LLMs can learn self-restraint through iterative self-reflection ↗](https://arxiv.org/abs/2405.13022) arXiv (Cornell University) · no summary yet**Alexandre Piché et al.*2024 · 4 citations*
43. **[Combating False Negatives in Adversarial Imitation Learning ↗](https://doi.org/10.1109/ijcnn52387.2021.9534032) arXiv:2002.00412 · no summary yet**Konrad Żołna et al.*2021 · 4 citations*
44. **[BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning ↗](https://arxiv.org/abs/2508.09804) arXiv (Cornell University) · no summary yet**Ahmed Masry et al.*2025 · 3 citations*
45. **[Jointly Learning "What" and "How" from Instructions and Goal-States. ↗](https://openalex.org/W2941951382) International Conference on Learning Representations · no summary yet**Dzmitry Bahdanau et al.*2018 · 3 citations*
46. **[Automated curriculum generation for Policy Gradients from Demonstrations ↗](https://arxiv.org/abs/1912.00444) arXiv (Cornell University) · no summary yet**Anirudh Srinivasan et al.*2019 · 2 citations*
47. **[Smart Decisions by Small Adjustments: Iterating Denoising Autoencoders ↗](https://openalex.org/W2622299662) no summary yet**Dzmitry Bahdanau, Herbert Jaeger*2014 · 2 citations*
48. **[Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention ↗](https://arxiv.org/abs/2104.06645) arXiv (Cornell University) · no summary yet**Leon Bergen, Dzmitry Bahdanau, Timothy J. O’Donnell*2021 · 1 citation*
49. **[Combating False Negatives in Adversarial Imitation Learning (Student Abstract) ↗](https://doi.org/10.1609/aaai.v34i10.7272) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Konrad Żołna et al.*2020 · 1 citation*
50. **[Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications ↗](https://doi.org/10.60692/dxnjd-sqr75) Greater South Information System · no summary yet**Takshak Desai et al.*2018 · 1 citation*
51. **[BRIDGE: Predicting Human Task Completion Time From Model Performance ↗](https://arxiv.org/abs/2602.07267) arXiv (Cornell University) · no summary yet**Fengyuan Liu et al.*2026*
52. **[Forecasting Downstream Performance of LLMs With Proxy Metrics ↗](https://arxiv.org/abs/2605.18607) arXiv (Cornell University) · no summary yet**Arkil Patel et al.*2026*
53. **[LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing ↗](https://arxiv.org/abs/2110.07572) arXiv (Cornell University) · no summary yet**Dora Jambor, Dzmitry Bahdanau*2021*
54. **[Proceedings of the Workshop on Generalization in the Age of Deep Learning ↗](https://doi.org/10.60692/24n4q-r1960) Greater South Information System · no summary yet**Soumya Wadhwa et al.*2018*
55. **[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】 ↗](https://openalex.org/W2751100985) IEEE Conference Proceedings · no summary yet**Dzmitry Bahdanau et al.*2016*
56. **[Learning phrase representations using rnn encoderdecoder for statistical machine translation. arXiv preprint arXiv:1406.1078 ↗](https://openalex.org/W7096620389) no summary yet**Kyunghyun Cho et al.*2014*