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Arkadiy Saakyan
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COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
A Saakyan, T Chakrabarty, S Muresan
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
842021
FLUTE: Figurative Language Understanding through Textual Explanations
T Chakrabarty, A Saakyan, D Ghosh, S Muresan
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
36*2022
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
T Chakrabarty*, A Saakyan*, O Winn*, A Panagopoulou, Y Yang, ...
Findings of the Association for Computational Linguistics: ACL 2023, 7370–7388, 2023
172023
Don't Go Far Off: An Empirical Study on Neural Poetry Translation
T Chakrabarty, A Saakyan, S Muresan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
102021
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
S CH-Wang*, A Saakyan*, O Li, Z Yu, S Muresan
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
62023
NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
O Li, M Subramanian, A Saakyan, S CH-Wang, S Muresan
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
32023
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
A Saakyan, S Muresan
arXiv preprint arXiv:2309.08583, 2023
32023
Learning to Follow Object-Centric Image Editing Instructions Faithfully
T Chakrabarty, K Singh, A Saakyan, S Muresan
Findings of the Association for Computational Linguistics: EMNLP 2023, 9630–9646, 2023
22023
A Report on the FigLang 2022 Shared Task on Understanding Figurative Language
A Saakyan, T Chakrabarty, D Ghosh, S Muresan
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), 178-183, 2022
12022
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