Ioannis Papaioannou, Amanda Curry, Jose Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondrej Dušek, Verena Rieser, Oliver Lemon, "Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback." In the proceedings of 2017 Alexa Prize Proceedings, 2017.
Arash Eshghi, Igor Shalyminov, Oliver Lemon, "Bootstrapping dialogue systems: the contribution of a semantic model of interactional dynamics." In the proceedings of Proceedings of the Conference on Logic and Machine Learning in Natural Language (LaML 2017), 2017.
Arash Eshghi, Igor Shalyminov, Oliver Lemon, "Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars." In the proceedings of Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017.
Igor Shalyminov, Arash Eshghi, Oliver Lemon, "Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena." In the proceedings of Proceedings of the 21st Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2017 - SaarDial), 2017.
Arash Eshghi, Igor Shalyminov, Oliver Lemon, "Interactional dynamics and the emergence of language games." CEUR Workshop Proceedings, 2017.
Amanda Curry, Ioannis Papaioannou, Alessandro Suglia, Shubham Agarwal, Igor Shalyminov, Xinnuo Xu, Ondrej Dusek, Arash Eshghi, Ionnis Konstas, Verena Rieser, Oliver Lemon, "Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking." In the proceedings of 2018 Alexa Prize Proceedings, 2018.
Igor Shalyminov, Sungjin Lee, "Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout." The Second NeurIPS Workshop on Conversational AI: ``Today's Practice and Tomorrow's Potential'', 2018.
Igor Shalyminov, Arash Eshghi, Oliver Lemon, "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems." In the proceedings of Proceedings of the 22st Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2018 - AixDial), 2018.
Igor Shalyminov, Ondrej Dusek, Oliver Lemon, "Neural Response Ranking for Social Conversation: A Data-Efficient Approach." In the proceedings of Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, SCAI@EMNLP 2018, Brussels, Belgium, October 31, 2018, 2018.
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon, "Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks." In the proceedings of Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019.
S. {Lee}, I. {Shalyminov}, "Contextual Out-of-domain Utterance Handling with Counterfeit Data Augmentation." In the proceedings of ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon, "Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach." In the proceedings of Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019.
I. {Shalyminov}, A. {Sordoni}, A. {Atkinson}, H. {Schulz}, "Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer." In the proceedings of ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz, "Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation." Dialog State Tracking Challenge 8, DSTC8@AAAI 2020, 2020.
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz, "GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation." IEEE ACM Trans. Audio Speech Lang. Process., 2021.
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour, "Enhancing abstractiveness of summarization models through calibrated distillation." In the proceedings of Findings of EMNLP 2023, 2023.
Liyan Tang, Igor Shalyminov, Amy Wong, Jon Burnsky, Jake Vincent, Yu'an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown, "TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization." arXiv, 2024.