Arkadiy Saakyan

Arkadiy Saakyan

PhD Candidate in Computer Science at Columbia University

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About

I am a PhD Candidate in Computer Science at Columbia University advised by Prof. Smaranda Muresan. Broadly, my research focuses on explainable understanding of pragmatics with Large Language Models, e.g. whether and how LLMs can understand figurative meaning (in text and in visuals), textual style (pragmastylistics), and cultural and social norms.

During my graduate studies, I interned at Google DeepMind and AWS AI. Before starting my PhD, I completed my B.A. at Columbia College and worked as a data scientist at UBS.

Industry Experience

Student Researcher, Google DeepMind

Summer 2025 with Lora Aroyo, Charvi Rastogi

Student Researcher, Google DeepMind

Summer 2024 with Deepak Ramachandran, Najoung Kim

Applied Research Scientist Intern, Amazon Web Services (AWS) AI Labs

Summer 2023 with Yassine Benajiba, Giovanni Paolini

Publications

* denotes equal contribution

2026

Arkadiy Saakyan, Najoung Kim, Smaranda Muresan, Tuhin Chakrabarty

ICLR 2026.

Textual Style Evaluation Creative Generation

2025

Nikhil Reddy Varimalla, Yunfei Xu, Arkadiy Saakyan, Meng Fan Wang, Smaranda Muresan

Preprint.

Culture Multimodal

Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan

Proceedings of NAACL 2025. (Long paper)

Figurative Language Multimodal Explainability

2024

Arkadiy Saakyan and Smaranda Muresan

Proceedings of ACL 2024. (Long paper)

Textual Style Explainability

2023

Sky CH-Wang*, Arkadiy Saakyan*, Oliver Li, Zhou Yu, and Smaranda Muresan

Proceedings of EMNLP 2023. (Long paper)

Culture Explainability

Oliver Li, Mallika Subramanian, Arkadiy Saakyan, Sky CH-Wang, and Smaranda Muresan

Proceedings of EMNLP 2023. (Short paper)

Culture

Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan

Findings of EMNLP 2023. (Long paper)

Multimodal Creative Generation

Tuhin Chakrabarty*, Arkadiy Saakyan*, Olivia Winn*, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, and Smaranda Muresan

Findings of ACL 2023. (Long paper)

Figurative Language Multimodal Creative Generation

2022

Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, and Smaranda Muresan

Proceedings of EMNLP 2022. (Long paper)

Figurative Language Explainability Evaluation

2021

Tuhin Chakrabarty, Arkadiy Saakyan, and Smaranda Muresan

Proceedings of EMNLP 2021. (Long paper)

Creative Generation Figurative Language

Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan

Proceedings of ACL 2021. (Long paper)

Factuality

Mentorship (Reach out if you are looking for research opportunities!)

  • Oliver Li (2022-2023, Columbia Undergraduate, published 2 papers)
  • Mallika Subramanian (2022-2023, Columbia Masters, published 1 paper)
  • Shreyas Kulkarni (2023-2024, Columbia Masters, published 1 paper)
  • Kanishk Singh (2023-2024, Columbia Masters, published 1 paper)
  • Meng Fan Wang (2024-2026, Columbia Undergraduate)
  • Lorraine (Yunfei) Xu (2024-2026, Columbia Undergraduate)
  • Nikhil Varimalla (2024-2026, Columbia Masters)

Service

Conference Reviewer

NeurIPS (2026), COLM (2026), ICML (2026), ICLR (2026), CHI (2026), ACL (2023, 2024), EMNLP (2023, 2024), NAACL (2023), EACL (2023, 2026)

Teaching

BC3997: LLMs: Foundations and Ethics

Teaching Assistant with Prof. Smaranda Muresan (Spring 2025)

Course Website

BC3997: Natural Language Processing

Teaching Assistant with Prof. Smaranda Muresan (Fall 2024)

Course Website

COMS W4995: Neural Networks and Deep Learning

Teaching Assistant with Prof. Richard Zemel (Fall 2023)

Other

Pictures of the cutest cat in the world (according to me).