Iulian Serban

According to our database1, Iulian Serban authored at least 33 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
How Useful Are Educational Questions Generated by Large Language Models?
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions.
CoRR, 2022

Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems.
Int. J. Artif. Intell. Educ., 2022

Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems.
Proceedings of the PAIS 2022, 2022

Question Personalization in an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Comparative Study of Learning Outcomes for Online Learning Platforms.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach.
J. Artif. Intell. Res., 2020

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
The Second Conversational Intelligence Challenge (ConvAI2).
CoRR, 2019

2018
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version.
Dialogue Discourse, 2018

The RLLChatbot: a solution to the ConvAI challenge.
CoRR, 2018

A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

2017
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus.
Dialogue Discourse, 2017

A Deep Reinforcement Learning Chatbot.
CoRR, 2017

Towards an automatic Turing test: Learning to evaluate dialogue responses.
Proceedings of the 5th International Conference on Learning Representations, 2017

Piecewise Latent Variables for Neural Variational Text Processing.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-modal Variational Encoder-Decoders.
CoRR, 2016

Generative Deep Neural Networks for Dialogue: A Short Review.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

On the Evaluation of Dialogue Systems with Next Utterance Classification.
Proceedings of the SIGDIAL 2016 Conference, 2016

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Hierarchical Neural Network Generative Models for Movie Dialogues.
CoRR, 2015

A Survey of Available Corpora for Building Data-Driven Dialogue Systems.
CoRR, 2015

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems.
Proceedings of the SIGDIAL 2015 Conference, 2015


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