Bahdanau, Dzmitry

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 25,545

Neural Machine Translation by Jointly Learning to Align and Translate

Bahdanau, D., Cho, K., & Bengio, Y. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 16,213

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3,317

Attention-Based Models for Speech Recognition

Chorowski, J., Bahdanau, D., Serdyuk, D., Cho, K., & Bengio, Y. (2015) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,021

An Actor-Critic Algorithm for Sequence Prediction

Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., & Bengio, Y. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 423

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Scholak, T., Schucher, N., & Bahdanau, D. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 346

StarCoder: may the source be with you!

Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 261

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Chevalier-Boisvert, M., Bahdanau, D., Lahlou, S., Willems, L., Saharia, C., Nguyen, T. H., & Bengio, Y. (2018) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 104

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Bahdanau, D., de Vries, H., O'Donnell, T. J., Murty, S., Beaudoin, P., Bengio, Y., & Courville, A. (2019) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 96

SantaCoder: don't reach for the stars!

Allal, L. B., Li, R., Kocetkov, D., Mou, C., Akiki, C., Ferrandis, C. M., Muennighoff, N., Mishra, M., Gu, A., Dey, M., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 61

Evaluating the Text-to-SQL Capabilities of Large Language Models

Rajkumar, N., Li, R., & Bahdanau, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 56

The Stack: 3 TB of permissively licensed source code

Kocetkov, D., Li, R., Allal, L. B., Li, J., Mou, C., Ferrandis, C. M., Jernite, Y., Mitchell, M., Hughes, S., Wolf, T., et al. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 42