Narutatsu Ri

My name is Edward, and I'm a senior at Columbia University. I'm very fortunate to be advised by Prof. Daniel Hsu, Prof. Kathleen McKeown, and Prof. Nakul Verma (ordered by last name).

I'm interested in NLP (more specifically, foundation models and text embeddings), and I'm grateful to be supported by the Egleston Scholars Program and the Ezoe Memorial Recruit Foundation.

Selected Publications

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)
[paper]

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
arXiv 2023
[paper]

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

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
[paper]

TA Experience

COMS 4771: Machine Learning

Summer 2022
Fall 2022 (Head TA)
Spring 2023 (Head TA)
Spring 2024 (Head TA)

Miscellaneous

[05/15/2023] Survey report on \(k\)-means++
[04/13/2023] Quick writeup on Neural Tangent Kernels
[12/19/2022] Writeup on embeddability of word analogies on the \(n\)-sphere
[07/05/2022] Presentation on Reconstructing the Cascade of Language Processing in the Brain using the Internal Computations of a Transformer-based Language Model at IRCN (University of Tokyo)
[06/13/2022] Quick report on Deep Embedded Clustering
[06/04/2019] Paper on 文章中の潜在要素を考慮した対話システム
[04/30/2018] Some robots I've built in the past

Website design taken from Jon Barron.