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ORCIDIgor Shalyminov
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2020 – today
- 2024
[c15]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) 2024: 552-567- [c14]Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. ACL (1) 2024: 906-922 - [c13]Shunqi Mao, Chaoyi Zhang
, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights. ECCV (50) 2024: 464-481 - [c12]Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan 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. NAACL-HLT 2024: 4455-4480 - [c11]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT 2024: 5150-5167 - [c10]Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. NAACL-HLT 2024: 5976-5996 - [c9]Jason Cai, Hang Su, Monica Sunkara, Igor Shalyminov, Saab Mansour:
CERET: Cost-Effective Extrinsic Refinement for Text Generation. NAACL-HLT 2024: 7377-7390 - [i19]Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR abs/2402.13249 (2024) - [i18]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR abs/2403.03194 (2024) - [i17]Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. CoRR abs/2403.04073 (2024) - [i16]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR abs/2403.04314 (2024) - [i15]Jason Cai, Hang Su, Monica Sunkara, Igor Shalyminov, Saab Mansour:
CERET: Cost-Effective Extrinsic Refinement for Text Generation. CoRR abs/2406.05588 (2024) - [i14]Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. CoRR abs/2407.00908 (2024) - [i13]Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. CoRR abs/2407.11449 (2024) - 2023
- [c8]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036 - [i12]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. CoRR abs/2310.13760 (2023) - 2021
- [j1]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. 29: 2484-2492 (2021) - 2020
- [c7]Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. ICASSP 2020: 8039-8043 - [i11]Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. CoRR abs/2003.01680 (2020) - [i10]Igor Shalyminov:
Data-Efficient Methods for Dialogue Systems. CoRR abs/2012.02929 (2020)
2010 – 2019
- 2019
- [c6]Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. EMNLP/IJCNLP (1) 2019: 1741-1751 - [c5]Sungjin Lee, Igor Shalyminov:
Contextual Out-of-domain Utterance Handling with Counterfeit Data Augmentation. ICASSP 2019: 7205-7209 - [c4]Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach. SIGdial 2019: 32-39 - [i9]Sungjin Lee, Igor Shalyminov:
Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation. CoRR abs/1905.10247 (2019) - [i8]Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach. CoRR abs/1908.05854 (2019) - [i7]Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. CoRR abs/1910.01302 (2019) - 2018
- [c3]Igor Shalyminov, Ondrej Dusek, Oliver Lemon:
Neural Response Ranking for Social Conversation: A Data-Efficient Approach. SCAI@EMNLP 2018: 1-8 - [i6]Igor Shalyminov, Arash Eshghi, Oliver Lemon:
Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems. CoRR abs/1810.03352 (2018) - [i5]Igor Shalyminov, Ondrej Dusek, Oliver Lemon:
Neural Response Ranking for Social Conversation: A Data-Efficient Approach. CoRR abs/1811.00967 (2018) - [i4]Igor Shalyminov, Sungjin Lee:
Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout. CoRR abs/1811.12148 (2018) - 2017
- [c2]Arash Eshghi, Igor Shalyminov, Oliver Lemon:
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars. EMNLP 2017: 2220-2230 - [c1]Arash Eshghi, Igor Shalyminov, Oliver Lemon:
Interactional dynamics and the emergence of language games. FADLI@ESSLLI 2017: 17-21 - [i3]Igor Shalyminov, Arash Eshghi, Oliver Lemon:
Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena. CoRR abs/1709.07840 (2017) - [i2]Arash Eshghi, Igor Shalyminov, Oliver Lemon:
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars. CoRR abs/1709.07858 (2017) - [i1]Ioannis Papaioannou, Amanda Cercas Curry, Jose L. Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondrej Dusek, Verena Rieser, Oliver Lemon:
An Ensemble Model with Ranking for Social Dialogue. CoRR abs/1712.07558 (2017)
Coauthor Index
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