| Building end-to-end dialogue systems using generative hierarchical neural network models I Serban, A Sordoni, Y Bengio, A Courville, J Pineau Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 2425 | 2016 |
| How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation CW Liu, R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 1716 | 2016 |
| A hierarchical latent variable encoder-decoder model for generating dialogues I Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 1394 | 2017 |
| The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems R Lowe, N Pow, IV Serban, J Pineau Proceedings of the 16th annual meeting of the special interest group on …, 2015 | 1229 | 2015 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688, 2016 | 1201 | 2016 |
| A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, P Henderson, L Charlin, J Pineau arXiv preprint arXiv:1512.05742, 2015 | 493 | 2015 |
| The second conversational intelligence challenge (convai2) E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2019 | 470 | 2019 |
| Towards an automatic turing test: Learning to evaluate dialogue responses R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ... Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 466 | 2017 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 392 | 2017 |
| Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus IV Serban, A García-Durán, Ç Gu̇lçehre, S Ahn, S Chandar, A Courville, ... Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 382 | 2016 |
| Multiresolution recurrent neural networks: An application to dialogue response generation I Serban, T Klinger, G Tesauro, K Talamadupula, B Zhou, Y Bengio, ... Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 257 | 2017 |
| Training end-to-end dialogue systems with the ubuntu dialogue corpus R Lowe, N Pow, IV Serban, L Charlin, CW Liu, J Pineau Dialogue & Discourse 8 (1), 31-65, 2017 | 195 | 2017 |
| Automated personalized feedback improves learning gains in an intelligent tutoring system E Kochmar, DD Vu, R Belfer, V Gupta, IV Serban, J Pineau International conference on artificial intelligence in education, 140-146, 2020 | 145 | 2020 |
| Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems E Kochmar, DD Vu, R Belfer, V Gupta, IV Serban, J Pineau International Journal of Artificial Intelligence in Education 32 (2), 323-349, 2022 | 132 | 2022 |
| Generative deep neural networks for dialogue: A short review IV Serban, R Lowe, L Charlin, J Pineau arXiv preprint arXiv:1611.06216, 2016 | 110 | 2016 |
| A new era: Intelligent tutoring systems will transform online learning for millions F St-Hilaire, DD Vu, A Frau, N Burns, F Faraji, J Potochny, S Robert, ... arXiv preprint arXiv:2203.03724, 2022 | 89 | 2022 |
| How useful are educational questions generated by large language models? S Elkins, E Kochmar, I Serban, JCK Cheung International Conference on Artificial Intelligence in Education, 536-542, 2023 | 86 | 2023 |
| On the evaluation of dialogue systems with next utterance classification R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016 | 81 | 2016 |
| Piecewise latent variables for neural variational text processing IV Serban, AG Ororbia, J Pineau, A Courville Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 56* | 2017 |
| Incorporating unstructured textual knowledge sources into neural dialogue systems R Lowe, N Pow, I Serban, L Charlin, J Pineau Neural information processing systems workshop on machine learning for …, 2015 | 56 | 2015 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
