Eunsol Choi
Associate Professor of Computer Science and Data Science
Studies natural language processing, with a focus on question answering, retrieval-augmented language models and keeping model knowledge up to date.
Eunsol Choi's lab at NYU works on knowledge, QA & retrieval and large language models. 53 papers since 2023, 26 at top venues, mostly ACL and EMNLP. 4 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 49%
- PhD students
- 4
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 12 papers2026 · T1 4 · collecting
- 13 papers2025 · T1 8
- 17 papers2024 · T1 6
- 11 papers2023 · T1 8
T1 venuesOtherVenues: ACL, EMNLP, ICLR, Findings of EMNLP, NAACL
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval13 papers
- Large language models13 papers
- question4 papers
- question answering4 papers
- retrieval-augmented2 papers
Paper list
From the lab homepage and DBLP.
202612 papers
- ACL (T1)BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks (opens in a new tab)
- —Check The Scoreboard: An Analysis of Scoring Schemes on Multiple-Choice Evaluation
- ICLR (T1)DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference (opens in a new tab)
- CHI (T1)Envisioning Future Food, Technology, and Health: Teens' Perspectives Through Design Fiction (opens in a new tab)
- —Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
- —Identifying Crucial Attention Heads for Multilingual Language Models: Retrieval and Retrieval-Transition Heads
- ACL (T1)Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users (opens in a new tab)
- —No Single Best Model for Diversity: Learning a Router for Sample Diversity
- —ParaSpeechCLAP: A Dual-Encoder Speech-Text Model for Rich Stylistic Language-Audio Pretraining
- —RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
- Findings of EACLSAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback (opens in a new tab)
- —Training Continuous Chain of Thought Models: A Tale of Two Regimes
202513 papers
- ACL (T1)CaLMQA: Exploring culturally specific long-form question answering across 23 languages (opens in a new tab)
- Findings of NAACLClarify When Necessary: Resolving Ambiguity Through Interaction with LMs (opens in a new tab)
- ICML (T1)Diverging Preferences: When do Annotators Disagree and do Models Know? (opens in a new tab)
- NAACL (T1)From Distributional to Overton Pluralism: Investigating Large Language Model Alignment (opens in a new tab)
- Findings of EMNLPImproving LLM-as-a-Judge Inference with the Judgment Distribution (opens in a new tab)
- ICLR (T1)Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions (opens in a new tab)
- NAACL (T1)Open-World Evaluation for Retrieving Diverse Perspectives (opens in a new tab)
- —RARe: Retrieval Augmented Retrieval with In-Context Examples
- ACL (T1)RefreshKV: Updating Small KV Cache During Long-form Generation (opens in a new tab)
- —Rhapsody: A Dataset for Highlight Detection in Podcasts
- EMNLP (T1)Scaling Rich Style-Prompted Text-to-Speech Datasets (opens in a new tab)
- UIST AdjunctScratchable Memory: A Scratch-Activated Olfactory Audio System (opens in a new tab)
202417 papers
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.A Multi-sensory Kiosk Interface to Familiarize Users with New Foods (opens in a new tab)
- CHI (T1)Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes (opens in a new tab)
- —AmbigDocs: Reasoning across Documents on Different Entities under the Same Name
- ICML (T1)BAT: Learning to Reason about Spatial Sounds with Large Language Models (opens in a new tab)
- NAACL (T1)Complex Claim Verification with Evidence Retrieved in the Wild (opens in a new tab)
- —Contrastive Learning to Improve Retrieval for Real-world Fact Checking
- Findings of NAACLCrafting In-context Examples according to LMs' Parametric Knowledge (opens in a new tab)
- Findings of EMNLPExploring Design Choices for Building Language-Specific LLMs (opens in a new tab)
- Findings of ACLKIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions (opens in a new tab)
- ICLR (T1)Learning to Reject with a Fixed Predictor: Application to Decontextualization (opens in a new tab)
- —Long-form Answers to Visual Questions from Blind and Low Vision People
- —RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
202311 papers
- ACL (T1)A Critical Evaluation of Evaluations for Long-form Question Answering (opens in a new tab)
- ACL (T1)Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge (opens in a new tab)
- ACL (T1)Concise Answers to Complex Questions: Summarization of Long-form Answers (opens in a new tab)
- ICASSP (T1)Continual Learning for On-Device Speech Recognition using Disentangled Conformers (opens in a new tab)
- EMNLP (T1)Continually Improving Extractive QA via Human Feedback (opens in a new tab)
- EACLDIFFQG: Generating Questions to Summarize Factual Changes (opens in a new tab)
- EMNLP (T1)Mitigating Temporal Misalignment by Discarding Outdated Facts (opens in a new tab)
- NeurIPS (T1)Propagating Knowledge Updates to LMs Through Distillation (opens in a new tab)
- Findings of ACLQuantifying Train-Evaluation Overlap with Nearest Neighbors (opens in a new tab)
- Proc. ACM Hum. Comput. Interact.Understanding Postpartum Parents' Experiences via Two Digital Platforms (opens in a new tab)
- ACL (T1)When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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