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Iulian Vlad Serban
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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
2284*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
arXiv preprint arXiv:1603.08023, 2016
15422016
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
13052017
The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
R Lowe, N Pow, I Serban, J Pineau
arXiv preprint arXiv:1506.08909, 2015
11452015
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
1118*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
4442015
Towards an automatic turing test: Learning to evaluate dialogue responses
R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ...
arXiv preprint arXiv:1708.07149, 2017
4242017
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 …, 2020
3782020
Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus
IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ...
arXiv preprint arXiv:1603.06807, 2016
3602016
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
3572017
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
2492017
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
1852017
Generative deep neural networks for dialogue: A short review
IV Serban, R Lowe, L Charlin, J Pineau
arXiv preprint arXiv:1611.06216, 2016
1062016
On the evaluation of dialogue systems with next utterance classification
R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau
arXiv preprint arXiv:1605.05414, 2016
782016
Automated personalized feedback improves learning gains in an intelligent tutoring system
E Kochmar, DD Vu, R Belfer, V Gupta, IV Serban, J Pineau
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
692020
Piecewise latent variables for neural variational text processing
IV Serban, AG Ororbia II, J Pineau, A Courville
arXiv preprint arXiv:1612.00377, 2016
55*2016
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
542015
Theano: A Python framework for fast computation of mathematical expressions. arXiv
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688 10, 2016
522016
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
482022
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
462023
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