Search Results - "Serban, Iulian"

Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus by Lowe, Ryan, Pow, Nissan, Serban, Iulian Vlad, Charlin, Laurent, Liu, Chia-Wei, Pineau, Joelle

“…In this paper, we construct and train end-to-end neural network-based dialogue systems usingan updated version of the recent Ubuntu Dialogue Corpus, a dataset…”
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The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach by Serban, Iulian Vlad, Sankar, Chinnadhurai, Pieper, Michael, Pineau, Joelle, Bengio, Yoshua

“…Deep reinforcement learning has recently shown many impressive successes. However, one major obstacle towards applying such methods to real-world problems is…”
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A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version by Serban, Iulian Vlad, Lowe, Ryan, Henderson, Peter, Charlin, Laurent, Pineau, Joelle

“…During the past decade, several areas of speech and language understanding have witnessed substantial breakthroughs from the use of data-driven models. In the…”
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Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems by Kochmar, Ekaterina, Vu, Dung Do, Belfer, Robert, Gupta, Varun, Serban, Iulian Vlad, Pineau, Joelle

“…Intelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches…”
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A Survey of Available Corpora for Building Data-Driven Dialogue Systems: The Journal Version by Serban, Iulian Vlad, Lowe, Ryan, Henderson, Peter, Charlin, Laurent, Pineau, Joelle

“…During the past decade, several areas of speech and language understanding have witnessed substantial breakthroughs from the use of data-driven models. In the…”
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Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits by Belfer, Robert, Kochmar, Ekaterina, Serban, Iulian Vlad

“…We present an adaptive learning Intelligent Tutoring System, which uses model-based reinforcement learning in the form of contextual bandits to assign learning…”
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How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes by Elkins, Sabina, Kochmar, Ekaterina, Cheung, Jackie C. K, Serban, Iulian

“…Question generation (QG) is a natural language processing task with an abundance of potential benefits and use cases in the educational domain. In order for…”
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How Useful are Educational Questions Generated by Large Language Models? by Elkins, Sabina, Kochmar, Ekaterina, Cheung, Jackie C. K, Serban, Iulian

“…Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike. Specifically, high…”
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Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval by Kulshreshtha, Devang, Belfer, Robert, Serban, Iulian Vlad, Reddy, Siva

“…In this work, we introduce back-training, an alternative to self-training for unsupervised domain adaptation (UDA) from source to target domain. While…”
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Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems by Kulshreshtha, Devang, Shayan, Muhammad, Belfer, Robert, Reddy, Siva, Serban, Iulian Vlad, Kochmar, Ekaterina

“…Existing work on generating hints in Intelligent Tutoring Systems (ITS) focuses mostly on manual and non-personalized feedback. In this work, we explore…”
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Question Personalization in an Intelligent Tutoring System by Elkins, Sabina, Belfer, Robert, Kochmar, Ekaterina, Serban, Iulian, Cheung, Jackie C. K

“…This paper investigates personalization in the field of intelligent tutoring systems (ITS). We hypothesize that personalization in the way questions are asked…”
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Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems by Grenander, Matt, Belfer, Robert, Kochmar, Ekaterina, Serban, Iulian V, St-Hilaire, François, Cheung, Jackie C. K

“…We explore creating automated, personalized feedback in an intelligent tutoring system (ITS). Our goal is to pinpoint correct and incorrect concepts in student…”
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Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System by Kochmar, Ekaterina, Vu, Dung Do, Belfer, Robert, Gupta, Varun, Serban, Iulian Vlad, Pineau, Joelle

“…We investigate how automated, data-driven, personalized feedback in a large-scale intelligent tutoring system (ITS) improves student learning outcomes. We…”
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A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM by Serban, Iulian Vlad, Gupta, Varun, Kochmar, Ekaterina, Vu, Dung D, Belfer, Robert, Pineau, Joelle, Courville, Aaron, Charlin, Laurent, Bengio, Yoshua

“…We present Korbit, a large-scale, open-domain, mixed-interface, dialogue-based intelligent tutoring system (ITS). Korbit uses machine learning, natural…”
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The RLLChatbot: a solution to the ConvAI challenge by Gontier, Nicolas, Sinha, Koustuv, Henderson, Peter, Serban, Iulian, Noseworthy, Michael, Parthasarathi, Prasanna, Pineau, Joelle

“…Current conversational systems can follow simple commands and answer basic questions, but they have difficulty maintaining coherent and open-ended…”
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Piecewise Latent Variables for Neural Variational Text Processing by Serban, Iulian V, OrorbiaII, Alexander G, Pineau, Joelle, Courville, Aaron

“…Advances in neural variational inference have facilitated the learning of powerful directed graphical models with continuous latent variables, such as…”
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Generative Deep Neural Networks for Dialogue: A Short Review by Serban, Iulian Vlad, Lowe, Ryan, Charlin, Laurent, Pineau, Joelle

“…Researchers have recently started investigating deep neural networks for dialogue applications. In particular, generative sequence-to-sequence (Seq2Seq) models…”
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The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach by Serban, Iulian Vlad, Sankar, Chinnadhurai, Pieper, Michael, Pineau, Joelle, Bengio, Yoshua

“…Deep reinforcement learning has recently shown many impressive successes. However, one major obstacle towards applying such methods to real-world problems is…”
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A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions by St-Hilaire, Francois, Vu, Dung Do, Frau, Antoine, Burns, Nathan, Faraji, Farid, Potochny, Joseph, Robert, Stephane, Roussel, Arnaud, Zheng, Selene, Glazier, Taylor, Romano, Junfel Vincent, Belfer, Robert, Shayan, Muhammad, Smofsky, Ariella, Delarosbil, Tommy, Ahn, Seulmin, Eden-Walker, Simon, Sony, Kritika, Ching, Ansona Onyi, Elkins, Sabina, Stepanyan, Anush, Matajova, Adela, Chen, Victor, Sahraei, Hossein, Larson, Robert, Markova, Nadia, Barkett, Andrew, Charlin, Laurent, Bengio, Yoshua, Serban, Iulian Vlad, Kochmar, Ekaterina

“…Despite artificial intelligence (AI) having transformed major aspects of our society, less than a fraction of its potential has been explored, let alone…”
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Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses by Lowe, Ryan, Noseworthy, Michael, Serban, Iulian V, Angelard-Gontier, Nicolas, Bengio, Yoshua, Pineau, Joelle

“…Proceedings of the 55th annual meeting on Association for Computational Linguistics (2017), pp. 1116-1126 Automatically evaluating the quality of dialogue…”
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