Author

Igor Shalyminov

Observed name: Shalyminov, Igor

Observed institutions: Microsoft (United States), Amazon (United States), University of Waterloo, Korea Advanced Institute of Science and Technology, Heriot-Watt University, The University of Texas at Austin

ORCID: 0000-0001-9664-1774

Observed ORCID: 0000-0001-9664-1774

OpenAlex ID: A5011132902

FineSurE: Fine-grained Summarization Evaluation using LLMs

2024 · Hwanjun Song, Hang Su, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 32

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Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback

2017 · Ioannis Papaioannou, Amanda Cercas Curry, et al. · Edinburgh Napier Research Repository (Edinburgh Napier University) · 30

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

2024 · Liyan Tang, Igor Shalyminov, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 26

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Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars

2017 · Arash Eshghi, Igor Shalyminov, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 23

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Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach

2019 · Igor Shalyminov, Sungjin Lee, et al. · Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL) · 21

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Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking

2018 · Amanda Cercas Curry, Ioannis Papaioannou, et al. · 20

Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena

2017 · Igor Shalyminov, Arash Eshghi, et al. · 13

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Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks

2019 · Igor Shalyminov, Sungjin Lee, et al. · 11

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Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer

2020 · Igor Shalyminov, Alessandro Sordoni, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 10

An Ensemble Model with Ranking for Social Dialogue

2017 · Papaioannou, Ioannis, Curry, Amanda Cercas, et al. · arXiv (Cornell University) · 9

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Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems

2018 · Shalyminov, Igor, Eshghi, Arash, et al. · arXiv (Cornell University) · 8

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Contextual Out-of-domain Utterance Handling with Counterfeit Data Augmentation

2019 · Sungjin Lee, Igor Shalyminov · IEEE International Conference on Acoustics Speech and Signal Processing · 7

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Interactional dynamics and the emergence of language games

2017 · Arash Eshghi, Igor Shalyminov, et al. · CEUR Workshop Proceedings · 7

GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation

2021 · Igor Shalyminov, Alessandro Sordoni, et al. · IEEE/ACM Transactions on Audio Speech and Language Processing · 6

Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights

2024 · Shunqi Mao, Chaoyi Zhang, et al. · Lecture notes in computer science · 4

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Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation

2020 · Shalyminov, Igor, Sordoni, Alessandro, et al. · arXiv (Cornell University) · 4

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MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

2024 · Hossein Aboutalebi, Hwanjun Song, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation

2023 · Hwanjun Song, Igor Shalyminov, et al. · 3

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TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

2024 · Tang, Liyan, Shalyminov, Igor, et al. · arXiv (Cornell University) · 2

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Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation

2025 · Mahnaz Koupaee, Jake W. Vincent, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 1

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Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection

2024 · Jianfeng He, Hang Su, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 1

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Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout

2018 · Shalyminov, Igor, Lee, Sungjin · arXiv (Cornell University) · 1

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Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation

2025 · Koupaee, Mahnaz, Vincent, Jake W., et al. · arXiv (Cornell University)

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Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders

2024 · Zhang, Yuwei, Singh, Siffi, et al. · arXiv (Cornell University)

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Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection

2024 · He, Jianfeng, Su, Hang, et al. · arXiv (Cornell University)