Eunsol Choi

I am an associate professor in Computer Science (Courant Institute) and Data Science at New York University. I study large language models (LLMs), focusing on enabling models to help people access information effectively. I enjoy studying real-world language usages and understanding how LLMs work. Previously, I was an assistant professor in the Computer Science department at the University of Texas at Austin, a researcher at Google AI in NYC and a Ph.D. student at UW, advised by Luke Zettlemoyer and Yejin Choi.

News

Research Group

I am fortunate to work with many talented students and collaborators. I don't have a group name, but my students like to play with naming my lab, such as (E)xplaining and (U)nderstanding (N)ature and (S)tructure/Synthesis (O)f (L)anguage. If you'd like to work with me, apply to NYU's Ph.D. program (computer science or data science) and mention my name in the application. I am looking for 1-2 students in the upcoming cycle (starting Fall 2027).

The research at my lab has been supported by Google, Open Philanthropy, CISCO, Sony, HomeDepot, Apple and NSF. Thank you!

Current
Anuj Diwan (w/ David Harwath)UT CS PhD (Fa21-)
Hung-Ting ChenCS PhD (Fa23-)
Varun Yerram (w/ He He)NYU CDS PhD (Fa25-)
Nishant BalepurVisiting Ph.D student (Fa25-Sp26)
Adam WeidmanNYU CSE Masters (Sp26-)
Junyeong ParkVisiting Ph.D. student (Fa26)
Nandan SarkarNYU CS PhD (Fa26-)

Publications

* refers to equal contribution.

Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability Alignment, ArXiv 2026
Yihuai Hong, Shauli Ravfogel, Chen Zhao^*, Eunsol Choi^*
RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering, NeurIPS 2026
Deniz Qian^*, Hung-Ting Chen^*, Eunsol Choi
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models, NeurIPS 2026, ICLR HCAIR workshop 2026
Ayush Rajesh Jhaveri, Anthony GX-Chen, Ilia Sucholutsky, Eunsol Choi
No Single Best Model for Diversity: Learning a Router for Sample Diversity, COLM 2026
Yuhan Liu, Fangyuan Xu, Vishakh Padmakumar, Daphne Ippolito, Eunsol Choi
(Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding, ArXiv 2026
Nishant Balepur, Connor Baumler, Valerie Chen, Eunsol Choi, Rachel Rudinger, Jordan Lee Boyd-Graber
Check The Scoreboard: An Analysis of Scoring Schemes on Multiple-Choice Evaluation, EMNLP 2026
Nishant Balepur, Paiheng Xu, Wei Ai, Eunsol Choi, Rachel Rudinger, Jordan Boyd-Graber
Training Continuous Chain of Thought Models: A Tale of Two Regimes, ICML 2026 AdaptFM Workshop
Varun Yerram, He He, Eunsol Choi
DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute, ArXiv 2026
Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Rachel Rudinger, Eunsol Choi, Jordan Lee Boyd-Graber, Doug Downey, Aakanksha Naik
ParaSpeechCLAP: A Dual-Encoder Speech-Text Model for Rich Stylistic Language-Audio Pretraining, InterSpeech 2026, nominated for best student paper award
Anuj Diwan, Eunsol Choi, David Harwath
Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users, ACL 2026
Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik
BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks, ACL 2026
Nishant Balepur, Bhavya Rajasekaran, Jane Oh, Michael Xie, Atrey Desai, Vipul Gupta, Steven James Moore, Eunsol Choi, Rachel Rudinger, Jordan Lee Boyd-Graber
Identifying Crucial Attention Heads for Multilingual Language Models: Retrieval and Retrieval-Transition Heads, EMNLP 2026 Findings
Shaswat Patel, Vishvesh Trivedi, Yue Han, Yihuai Hong, Eunsol Choi
Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval, ArXiv 2025
Hung-Ting Chen, Xiang Liu, Shauli Ravfogel, Eunsol Choi
DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference, ICLR 2026
Xiang Liu, Xuming Hu, Xiaowen Chu^*, Eunsol Choi^*
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback, EACL 2026 Findings
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal, EMNLP 2025
Yuhan Liu, Michael J.Q. Zhang, Eunsol Choi
PropMEND: Hypernetworks for Knowledge Propagation in LLMs, ArXiv 2025
Zeyu Leo Liu, Greg Durrett, Eunsol Choi
Learning to Reason Across Parallel Samples for LLM Reasoning, ArXiv 2025
Jianing Qi, Xi Ye, Hao Tang, Zhigang Zhu, Eunsol Choi
On Language Models’ Sensitivity to Suspicious Coincidences, ArXiv 2025
Sriram Padmanabhan, Kanishka Misra, Kyle Mahowald, Eunsol Choi
Scaling Rich Style-Prompted Text-to-Speech Datasets, EMNLP 2025
Anuj Diwan, Zhisheng Zheng, David Harwath, Eunsol Choi
[project website]
Improving LLM-as-a-Judge Inference with the Judgment Distribution, EMNLP 2025 Findings
Victor Wang, Michael J.Q. Zhang, Eunsol Choi
RARe: Retrieval Augmented Retrieval with In-Context Examples, COLM 2025
Atula Tejaswi, Yoonsang Lee, Sujay Sanghavi^*, Eunsol Choi^*
Rhapsody: A Dataset for Highlight Detection in Podcasts, COLM 2025
Younghan Park, Anuj Diwan, David Harwath, Eunsol Choi
RefreshKV: Updating Small KV Cache During Long-form Generation, ACL 2025
Fangyuan Xu, Tanya Goyal^*, Eunsol Choi^*
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates, ArXiv 2024
Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett
CaLMQA: Exploring culturally specific long-form question answering across 23 languages, ACL 2025
Shane Arora^*, Marzena Karpinska^*, Hung-Ting Chen, Ipsita Bhattacharjee, Mohit Iyyer^*, Eunsol Choi^*
Diverging Preferences: When do Annotators Disagree and do Models Know?, ICML 2025
Michael J.Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
Open-World Evaluation for Retrieving Diverse Perspectives, NAACL 2025
Hung-ting Chen, Eunsol Choi
[talk slides]
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment, NAACL 2025
Thom Lake, Eunsol Choi, Greg Durrett
[poster]
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs, NAACL 2025 Findings
Michael J.Q. Zhang, Eunsol Choi
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions, ICLR 2025
Michael J.Q. Zhang, W. Bradley Knox, Eunsol Choi
[poster]
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors, NeurIPS 2024
Vijay Lingam^*, Atula Tejaswi^*, Aditya Vavre^*, Aneesh Shetty^*, Gautham Krishna Gudur^*, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
Contrastive Learning to Improve Retrieval for Real-world Fact Checking, EMNLP 2024 FEVER Workshop (Oral)
Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett
[poster]
Exploring Design Choices for Building Language-Specific LLMs, EMNLP 2024 Findings
Atula Tejaswi^*, Nilesh Gupta^*, Eunsol Choi
[poster]
Unit-based Speech-to-Speech Translation Without Parallel Data, EMNLP 2024 Findings
Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi
[poster]
Understanding Retrieval Augmentation for Long form Question Answering, COLM 2024
Hung-Ting Chen, Fangyuan Xu^*, Shane Arora^*, Eunsol Choi
[poster]
AmbigDocs: Reasoning across Documents on Different Entities under the Same Name, COLM 2024
Yoonsang Lee, Xi Ye, Eunsol Choi
[project website],[poster]
Long-form Answers to Visual Questions from Blind and Low Vision People, COLM 2024 (Spotlight)
Mina Huh, Fangyuan Xu, Yi-Hao Peng, Chongyan Chen, Hansika Murugu, Danna Gurari, Eunsol Choi, Amy Pavel
[project website][slides], [poster]
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions, ACL 2024 Findings
Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden
[poster]
BAT: Learning to Reason about Spatial Sounds with Large Language Models, ICML 2024
Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath
[project website]
Complex Claim Verification with Evidence Retrieved in the Wild, NAACL 2024
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi
Crafting In-context Examples according to LMs' Parametric Knowledge, NAACL 2024 Findings
Yoonsang Lee^*, Pranav Atreya^*, Xi Ye, Eunsol Choi
[poster]
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation, ICLR 2024
Fangyuan Xu, Weijia Shi, Eunsol Choi
[poster]
Learning to Reject with a Fixed Predictor: Application to Decontextualization, ICLR 2024
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes, CHI 2024
Apoorva Gondimalla, Varshinee Sreekanth, Govind Joshi, Whitney Nelson, Eunsol Choi, Stephen Slota, Sherri Greenberg, Kenneth Fleischmann, and Min Kyung Lee
Mitigating Temporal Misalignment by Discarding Outdated Facts, EMNLP 2023
Michael J.Q. Zhang, Eunsol Choi
[poster]
Continually Improving Extractive QA via Human Feedback, EMNLP 2023
Ge Gao^*, Hung-Ting Chen^*, Yoav Artzi, Eunsol Choi
[poster]
Propagating Knowledge Updates to LMs Through Distillation, NeurIPS 2023
Shankar Padmanabhan, Yasumasa Onoe, Michael J.Q. Zhang, Greg Durrett, Eunsol Choi
[poster]
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge, ACL 2023
Yasumasa Onoe, Michael J.Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
[poster]
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants, ACL 2023, short
Anuj Diwan, Eunsol Choi, David Harwath
[poster]
A Critical Evaluation of Evaluations for Long-form Question Answering, ACL 2023
Fangyuan Xu^*, Yixiao Song^*, Mohit Iyyer, Eunsol Choi
[data/code], [talk]
Concise Answers to Complex Questions: Summarization of Long-form Answers, ACL 2023
Abhilash Potluri^*,Fangyuan Xu^*, Eunsol Choi
[poster]
Quantifying Train-Evaluation Overlap with Nearest Neighbors, ACL 2023 Findings
Gauri Kambhatla, Thuy Nguyen, Eunsol Choi
DIFFQG: Generating Questions to Summarize Factual Changes, EACL 2023
Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J.Q. Zhang, Eunsol Choi, Bhuwan Dhingra
Continual Learning for On-Device Speech Recognition using Disentangled Conformers, ICASSP 2023
Anuj Diwan, Ching-Feng Yeh, Wei-Ning Hsu, Paden Tomasello, Eunsol Choi, David Harwath, Abdelrahman Mohamed
[poster]
Understanding Postpartum Parents' Experiences via Two Digital Platforms, CSCW 2023 April Issue
Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S Craig Watkins, Edison Thomaz, Kaya De Barbaro
Generating Literal and Implied Subquestions to Fact-check Complex Claims, EMNLP 2022
Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett
[project website], [poster]
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence, EMNLP 2022
Hung-ting Chen, Michael J.Q. Zhang, Eunsol Choi
[slides]
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality, EMNLP 2022
Anuj Diwan^*, Layne Berry^*, Eunsol Choi, David Harwath, Kyle Mahowald
[code],[slides]
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources, Findings of EMNLP 2022
Xinyan Velocity Yu^*, Akari Asai^*, Trina Chatterjee, Junjie Hu, Eunsol Choi
[website]
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages, Findings of EMNLP 2022
Anirudh Srinivasan, Eunsol Choi
[code/data],[poster]
Entity Cloze By Date: What LMs Know About Unseen Entities, Findings of NAACL 2022 short
Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, Greg Durrett
[poster]
Modeling Exemplification in Long-form Question Answering via Retrieval, NAACL 2022
Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer
[slides]
How do we answer complex questions: Discourse structure of long form answers, ACL 2022
Fangyuan Xu, Junyi Jessy Li, Eunsol Choi
[code],[poster],[slides]
Simulating Bandit Learning from User Feedback for Extractive Question Answering, ACL 2022
Ge Gao, Eunsol Choi, Yoav Artzi
[code], [poster],[slides]
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines, ACL 2022
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
[website],[poster]
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge, NeurIPS 2021 Benchmark and Datasets
Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, Greg Durrett
[webiste]
SituatedQA: Incorporating Extra-Linguistic Contexts into QA, EMNLP 2021 long, 🏆 Outstanding Paper Award
Michael J.Q. Zhang, Eunsol Choi
[website], [slides]
Learning with Different Amount of Annotation: From Zero to Many Labels, EMNLP 2021
Shujian Zhang, Chenyue Gong, Eunsol Choi
[code]
Can NLI Models Verify QA Systems' Predictions?, Findings of EMNLP 2021
Jifan Chen, Eunsol Choi, Greg Durrett
[slides]
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval, ACL 2021
Akari Asai, Eunsol Choi
[code]
Knowing More About Questions Can Help: Improving Calibration in Question Answering, Findings of ACL 2021
Shujian Zhang, Chenyue Gong, Eunsol Choi
[code]
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned, PMLR 2021
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, and more (EfficientQA participants)
[website]
QED: A Framework and Dataset for Explanations in Question Answering, TACL 2021
Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins
[code]
XOR QA: Cross-lingual Open-Retrieval Question Answering, NAACL 2021
Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
Project Page [Code / Data / Leaderboard / Poster]
Decontextualization: Making Sentences Stand-Alone, TACL 2021
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins
[code/data], [poster]
Entities as Experts: Sparse Memory Access with Entity Supervision, EMNLP 2020
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski
TYDI QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages, TACL 2020
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki
[Leaderboard / Website] [Code / Data Repo]
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension, EMNLP 2019 workshop proceedings
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, and Danqi Chen
Pair2Vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference, NAACL 2019
Mandar Joshi, Eunsol Choi, Omer Levy, Dan Weld and Luke Zettlemoyer
No Permanent Friends or Enemies: Tracking Dynamic Relationships Between Nations from News, NAACL 2019 Long
Xiaochuang Han, Eunsol Choi, and Chenhao Tan
FlowQA: Grasping Flow in History For Conversational Machine Comprehension, ICLR 2019, poster
Hsin-Yuan Huang, Eunsol Choi and Wen-tau Yih
Neural Metaphor Detection in Context EMNLP 18 short
Ge Gao, Eunsol Choi, Yejin Choi and Luke Zettlemoyer
[Slides][Code]
QuAC : Question Answering in Context EMNLP 18 long
Eunsol Choi^*, He He^*, Mohit Iyyer^*, Mark Yatskar^*, Wen-tau Yih, Yejin Choi, Percy Liang and Luke Zettlemoyer
Project Page [Code / Data / Leaderboard / Poster]
Ultra-Fine Entity Typing ACL 18 long
Eunsol Choi, Omer Levy, Yejin Choi and Luke Zettlemoyer
Project Page [Code / Data / Slides]
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking EMNLP 17 short
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova and Yejin Choi
Project Page [Code / Data / Slides]
Zero-Shot Relation Extraction Via Reading Comprehension CoNLL 17 long
Omer Levy, Minjoon Seo, Eunsol Choi and Luke Zettlemoyer
Project Page [Code / Data/ Leaderboard]
Coarse-to-Fine Question Answering for Long Documents ACL 17 long
Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste and Jonathan Berant
[Slides]
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 17 long
Mandar Joshi, Eunsol Choi, Daniel Weld and Luke Zettlemoyer
Project Page [Code / Data / Leaderboard]
Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL 16 long
Eunsol Choi, Hannah Rashkin, Yejin Choi and Luke Zettlemoyer
[Data]
Errata: In Section 5, the metric should be micro-averaged instead of macro-averaged. In Section 2.2, second equation should be . The current version here is fixed.
Extracting Structured Scholarly Information from Machine Translation Literature LREC 16 long
Eunsol Choi^*, Matic Horvat ^*, Jonathan May, Kevin Knight, Daniel Marcu
[Poster][Code]
Scalable Semantic Parsing With Partial Ontologies ACL 15 long
Eunsol Choi, Tom Kwiatkowski and Luke Zettlemoyer [Slides][Data (414MB)]
Scaling Semantic Parsers with On-the-Fly Ontology Matching EMNLP 13 long
Tom Kwiatkowski, Eunsol Choi, Yoav Artzi and Luke Zettlemoyer
[Slides]
Hedge detection as a lens on framing in the GMO debates: A position paper ACL 12 workshop
Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel
Project Page [Data / Slides]

Teaching

Service

Workshop Co-chair, ACL 2024, AKBC 2021
Program Co-chair, COLM 2025, AKBC 2022
Organizing Committee, Rising Stars in EECS 2022
Publicity Co-chair, EMNLP 2022
Best Paper Committee Co-chair, ACL 2026
Best Paper Committee, ICLR 2024, EMNLP 2025
Senior Area Chair, EMNLP 2021,2, ACL 2023
Area Chair, EMNLP 2019, ACL 2020, EMNLP 2020, NeurIPS 2021 (benchmark track), ICML 2023-24, COLM 2024
Action Editor, ARR
Standing Reviewer, TACL, CL, TMLR
Reviewer, ACL, EMNLP, NeurIPS, ICLR, ICML, AKBC, and some related workshops occasionally (please see my CV).
Workshop co-organizer, Workshop on Machine Reading for Question Answering, ACL 2018, EMNLP 2019, EMNLP 2021
Efficient QA Workshop, NeurIPS 2020
Faculty mentor, UT Graduate Women and Gender Minorities in Computing, 23-24
Co-organizer, Rising stars in EECS 2022

Alumni

Jifan Chen (w/ Greg Durrett) CS Ph.D Summer 2023 → Amazon AWS
Yasumasa Onoe (w/ Greg Durrett) CS Ph.D Summer 2023 → Google Research
Anirudh SrinivasanCS Masters, 2022 → Tenstorrent Inc.
Hung-ting ChenCS Masters, 2022 → UT PhD
Pranav AtreyaCS Undergrad Thesis, 2023 → Berkeley PhD
Abhilash PotluriCS Undergrad Thesis, 2022 → UIUC Masters
Rishi Salem (w/ David Harwath)CS Masters Summer 2023
Shankar PadmanabhanUT Undergraduate → Cornell PhD
Yoonsang LeeVisiting Student (Fa23-Sp24) → Princeton PhD
Younghan ParkVisiting Student (Fa23-Sp24) → CMU MS
Doeun LeeUT CS Undergraduate (Su23-Sp24) → OSU Masters
Atula Tejaswi NeerkajeCS Masters (Fa23-Sp25) → UT CS Ph.D
Leo Zeyu Liu (w/ Greg Durrett)UT CS PhD (Fa23-Fa25), now on leave and at SalesForce
Thom Lake (w/ Greg Durrett)UT CS PhD (Fa23-Fa25), now on leave and at Indeed
Xiang LiuVisiting Ph.D student (Su25-Fa25)
Fangyuan XuCS PhD (Fa22-Su26) → OpenAI
Michael J.Q. ZhangCS PhD (Fa20-Sp26)
Yuhan LiuNYU CS MS (Fa24-Sp26)
Ayush JhaveriNYU CS MS (Fa25-Sp26) → Capital One
Deniz QianNYU CS MS (Fa25-Sp26) → Cohere

Personal

My name (은솔) means soft, persistent love in ancient Korean (or at least my father claims so). I use she/her pronoun. Here is my voice clips to help you pronounce my names: Korean version: [] Easier version: []
I am fortunate to embark my NLP journey at Cornell as an undergraduate with Lillian Lee.