Arkadiy Saakyan

Work in progress:

1. Understanding Figurative Meaning through Explainable Visual Entailment
   Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan
   In submission.
   [Code, Data]

Publications

* denotes equal contribution

1. ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
   Arkadiy Saakyan and Smaranda Muresan
   Proceedings of ACL 2024. (Long paper)
   [Code and Data, Slides, Poster]
2. Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
   Sky CH-Wang*, Arkadiy Saakyan*, Oliver Li, Zhou Yu, and Smaranda Muresan
   Proceedings of EMNLP 2023. (Long paper)
   [Code and Data, Poster]
3. NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
   Oliver Li, Mallika Subramanian, Arkadiy Saakyan, Sky CH-Wang, and Smaranda Muresan
   Proceedings of EMNLP 2023. (Short paper)
   [Code and Data]
4. Learning to Follow Object-Centric Image Editing Instructions Faithfully
   Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan
   Findings of EMNLP 2023. (Long paper)
   [Code and Data]
5. I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
   Tuhin Chakrabarty*, Arkadiy Saakyan*, Olivia Winn*, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, and Smaranda Muresan.
   Findings of ACL 2023. (Long paper)
   [Code and Data, Poster]
6. FLUTE: Figurative Language Understanding through Textual Explanations
   Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, and Smaranda Muresan.
   Proceedings of EMNLP 2022. (Long paper, poster)
   [Code and Data]
7. Don’t Go Far Off: An Empirical Study on Neural Poetry Translation.
   Tuhin Chakrabarty, Arkadiy Saakyan, and Smaranda Muresan.
   Proceedings of EMNLP 2021. (Long paper, oral)
   [Slides] [Talk] [Code and Data]
8. COVID-Fact: Fact Extraction and Verification of Real-World Claims about COVID-19 Pandemic.
   Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan.
   Proceedings of ACL 2021. (Long paper, oral)
   [Slides] [Talk] [Code and Data]

Industry Experience

• Student Researcher, Google DeepMind (Summer 2024) with Deepak Ramachandran, Najoung Kim
• Applied Research Scientist Intern, AWS AI Labs (Summer 2023) with Yassine Benajiba, Giovanni Paolini

Service

• Reviewer: ACL (2023, 2024), EMNLP (2023, 2024), NAACL (2023), EACL (2023)
• Organizer: Shared Task on Understanding Figurative Language (FigLang 2022), Understanding of Figurative Language through Visual Entailment Shared Task (FigLang 2024)

Teaching

• Teaching Assistant for BC3997: Natural Language Processing with Prof. Smaranda Muresan (Fall 2024)
• Teaching Assistant for COMS W4995: Neural Networks and Deep Learning with Prof. Richard Zemel (Fall 2023)