Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (EMNLP (Findings), 2023)

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

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (CoRR, 2023)

IdEALS: Idiomatic Expressions for Advancement of Language Skills. - Narutatsu Ri; Bill Sun; Sam Davidson; Zhou Yu 005 (CoRR, 2023)

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. - Yanda Chen; Ruiqi Zhong; Narutatsu Ri; Chen Zhao; He He 001; Jacob Steinhardt; Zhou Yu; Kathleen R. McKeown (ICML, 2024)

Reranking-based Generation for Unbiased Perspective Summarization. - Narutatsu Ri; Nicholas Deas; Kathleen McKeown (ACL (Findings), 2025)

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

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. - Yik Siu Chan; Narutatsu Ri; Yuxin Xiao; Marzyeh Ghassemi (CoRR, 2025)