My name is Narutatsu, but please feel free to call me Edward. I am a fifth-year master's student at Columbia University, where I am fortunate to be advised by Prof. Kathleen McKeown, Nakul Verma, and Daniel Hsu. I'm supported by the Ezoe Memorial Recruit Foundation and was previously a part of the Egleston Scholars Program.

Some Papers

Reranking-based Generation for Unbiased Perspective Summarization
Narutatsu Ri, Nicholas Deas, Kathleen McKeown
(Coming Soon!)

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
Yik Siu Chan*, Narutatsu Ri*, Yuxin Xiao*, Marzyeh Ghassemi
arxiv 2025

Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen McKeown
COLING 2025

The Effect of Model Capacity on the Emergence of In-Context Learning
Berkan Ottlik*, Narutatsu Ri*, Daniel Hsu, Clayton Sanford
ICLR 2024 (ME-FoMo Workshop)

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen McKeown
ICML 2024 (Spotlight)

Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
Narutatsu Ri, Fei-Tzin Lee, Nakul Verma
ACL 2023 (RepL4NLP Workshop)

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
EMNLP 2023 (Findings)