Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper. - Eunsol Choi; Chenhao Tan; Lillian Lee; Cristian Danescu-Niculescu-Mizil; Jennifer Spindel (ExProM@ACL, 2012)

Scaling Semantic Parsers with On-the-Fly Ontology Matching. - Tom Kwiatkowski; Eunsol Choi; Yoav Artzi; Luke Zettlemoyer (EMNLP, 2013)

Scalable Semantic Parsing with Partial Ontologies. - Eunsol Choi; Tom Kwiatkowski; Luke Zettlemoyer (ACL (1), 2015)

Document-level Sentiment Inference with Social, Faction, and Discourse Context. - Eunsol Choi; Hannah Rashkin; Luke Zettlemoyer; Yejin Choi 001 (ACL (1), 2016)

Extracting Structured Scholarly Information from the Machine Translation Literature. - Eunsol Choi; Matic Horvat; Jonathan May; Kevin Knight; Daniel Marcu (LREC, 2016)

Hierarchical Question Answering for Long Documents. - Eunsol Choi; Daniel Hewlett; Alexandre Lacoste; Illia Polosukhin; Jakob Uszkoreit; Jonathan Berant (CoRR, 2016)

Coarse-to-Fine Question Answering for Long Documents. - Eunsol Choi; Daniel Hewlett; Jakob Uszkoreit; Illia Polosukhin; Alexandre Lacoste; Jonathan Berant (ACL (1), 2017)

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. - Mandar Joshi; Eunsol Choi; Daniel S. Weld; Luke Zettlemoyer (ACL (1), 2017)

Zero-Shot Relation Extraction via Reading Comprehension. - Omer Levy; Minjoon Seo; Eunsol Choi; Luke Zettlemoyer (CoNLL, 2017)

Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. - Hannah Rashkin; Eunsol Choi; Jin Yea Jang; Svitlana Volkova; Yejin Choi 001 (EMNLP, 2017)

Ultra-Fine Entity Typing. - Eunsol Choi; Omer Levy; Yejin Choi 001; Luke Zettlemoyer (ACL (1), 2018)

QuAC: Question Answering in Context. - Eunsol Choi; He He 001; Mohit Iyyer; Mark Yatskar; Wen-tau Yih; Yejin Choi 001; Percy Liang; Luke Zettlemoyer (EMNLP, 2018)

Neural Metaphor Detection in Context. - Ge Gao; Eunsol Choi; Yejin Choi 001; Luke Zettlemoyer (EMNLP, 2018)

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. - Adam Fisch; Alon Talmor; Robin Jia; Minjoon Seo; Eunsol Choi; Danqi Chen 001 (MRQA@EMNLP, 2019)

FlowQA: Grasping Flow in History for Conversational Machine Comprehension. - Hsin-Yuan Huang; Eunsol Choi; Wen-tau Yih (ICLR (Poster), 2019)

No Permanent Friends or Enemies: Tracking Relationships between Nations from News. - Xiaochuang Han; Eunsol Choi; Chenhao Tan (NAACL-HLT (1), 2019)

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. - Mandar Joshi; Eunsol Choi; Omer Levy; Daniel S. Weld; Luke Zettlemoyer (NAACL-HLT (1), 2019)

Learning To Understand Entities In Text. - Eunsol Choi (2019)

Entities as Experts: Sparse Memory Access with Entity Supervision. - Thibault Févry; Livio Baldini Soares; Nicholas FitzGerald; Eunsol Choi; Tom Kwiatkowski (EMNLP (1), 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Jonathan H. Clark; Jennimaria Palomaki; Vitaly Nikolaev; Eunsol Choi; Dan Garrette; Michael Collins 001; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2020)

Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval. - Akari Asai; Eunsol Choi (ACL/IJCNLP (1), 2021)

Knowing More About Questions Can Help: Improving Calibration in Question Answering. - Shujian Zhang; Chengyue Gong; Eunsol Choi (ACL/IJCNLP (Findings), 2021)

Can NLI Models Verify QA Systems' Predictions? - Jifan Chen; Eunsol Choi; Greg Durrett (EMNLP (Findings), 2021)

SituatedQA: Incorporating Extra-Linguistic Contexts into QA. - Michael J. Q. Zhang; Eunsol Choi (EMNLP (1), 2021)

Learning with Different Amounts of Annotation: From Zero to Many Labels. - Shujian Zhang; Chengyue Gong; Eunsol Choi (EMNLP (1), 2021)

What Happens to My Instagram Account After I Die? Re-imagining Social Media as a Commemorative Space for Remembrance and Recovery. - Soonho Kwon; Eunsol Choi; Minseok Kim; Sunah Hwang; Dongwoo Kim; Younah Kang (INTERACT (2), 2021)

XOR QA: Cross-lingual Open-Retrieval Question Answering. - Akari Asai; Jungo Kasai; Jonathan H. Clark; Kenton Lee; Eunsol Choi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NeurIPS Datasets and Benchmarks, 2021)

Capturing Label Distribution: A Case Study in NLI. - Shujian Zhang; Chengyue Gong; Eunsol Choi (CoRR, 2021)

Misinfo Belief Frames: A Case Study on Covid & Climate News. - Saadia Gabriel; Skyler Hallinan; Maarten Sap; Pemi Nguyen; Franziska Roesner; Eunsol Choi; Yejin Choi 001 (CoRR, 2021)

Decontextualization: Making Sentences Stand-Alone. - Eunsol Choi; Jennimaria Palomaki; Matthew Lamm; Tom Kwiatkowski; Dipanjan Das 001; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

QED: A Framework and Dataset for Explanations in Question Answering. - Matthew Lamm; Jennimaria Palomaki; Chris Alberti; Daniel Andor; Eunsol Choi; Livio Baldini Soares; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. - Saadia Gabriel; Skyler Hallinan; Maarten Sap; Pemi Nguyen; Franziska Roesner; Eunsol Choi; Yejin Choi 001 (ACL (1), 2022)

Simulating Bandit Learning from User Feedback for Extractive Question Answering. - Ge Gao; Eunsol Choi; Yoav Artzi (ACL (1), 2022)

How Do We Answer Complex Questions: Discourse Structure of Long-form Answers. - Fangyuan Xu; Junyi Jessy Li; Eunsol Choi (ACL (1), 2022)

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. - Xinyan Yu 001; Trina Chatterjee; Akari Asai; Junjie Hu 001; Eunsol Choi (EMNLP (Findings), 2022)

Generating Literal and Implied Subquestions to Fact-check Complex Claims. - Jifan Chen; Aniruddh Sriram; Eunsol Choi; Greg Durrett (EMNLP, 2022)

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. - Hung-Ting Chen; Michael J. Q. Zhang; Eunsol Choi (EMNLP, 2022)

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. - Anuj Diwan; Layne Berry; Eunsol Choi; David Harwath; Kyle Mahowald (EMNLP, 2022)

TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages. - Anirudh Srinivasan; Eunsol Choi (EMNLP (Findings), 2022)

Entity Cloze By Date: What LMs Know About Unseen Entities. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NAACL-HLT (Findings), 2022)

Modeling Exemplification in Long-form Question Answering via Retrieval. - Shufan Wang; Fangyuan Xu; Laure Thompson; Eunsol Choi; Mohit Iyyer (NAACL-HLT, 2022)

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. - Venelin Kovatchev; Trina Chatterjee; Venkata Subrahmanyan Govindarajan; Jifan Chen; Eunsol Choi; Gabriella Chronis; Anubrata Das 001; Katrin Erk; Matthew Lease; Junyi Jessy Li; Yating Wu 002; Kyle Mahowald (CoRR, 2022)

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. - Akari Asai; Shayne Longpre; Jungo Kasai; Chia-Hsuan Lee 001; Rui Zhang 037; Junjie Hu 001; Ikuya Yamada; Jonathan H. Clark; Eunsol Choi (CoRR, 2022)

When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants. - Anuj Diwan; Eunsol Choi; David Harwath (ACL (2), 2023)

Quantifying Train-Evaluation Overlap with Nearest Neighbors. - Gauri Kambhatla; Thuy Nguyen; Eunsol Choi (ACL (Findings), 2023)

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Shankar Padmanabhan; Greg Durrett; Eunsol Choi (ACL (1), 2023)

Concise Answers to Complex Questions: Summarization of Long-form Answers. - Abhilash Potluri; Fangyuan Xu; Eunsol Choi (ACL (1), 2023)

A Critical Evaluation of Evaluations for Long-form Question Answering. - Fangyuan Xu; Yixiao Song; Mohit Iyyer; Eunsol Choi (ACL (1), 2023)

DiffQG: Generating Questions to Summarize Factual Changes. - Jeremy R. Cole; Palak Jain 006; Julian Martin Eisenschlos; Michael J. Q. Zhang; Eunsol Choi; Bhuwan Dhingra (EACL, 2023)

Continually Improving Extractive QA via Human Feedback. - Ge Gao; Hung-Ting Chen; Yoav Artzi; Eunsol Choi (EMNLP, 2023)

Mitigating Temporal Misalignment by Discarding Outdated Facts. - Michael J. Q. Zhang; Eunsol Choi (EMNLP, 2023)

Continual Learning for On-Device Speech Recognition Using Disentangled Conformers. - Anuj Diwan; Ching-Feng Yeh; Wei-Ning Hsu; Paden Tomasello; Eunsol Choi; David Harwath; Abdelrahman Mohamed (ICASSP, 2023)

Propagating Knowledge Updates to LMs Through Distillation. - Shankar Padmanabhan; Yasumasa Onoe; Michael J. Q. Zhang; Greg Durrett; Eunsol Choi (NeurIPS, 2023)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001 (CoRR, 2023)

Unit-based Speech-to-Speech Translation Without Parallel Data. - Anuj Diwan; Anirudh Srinivasan; David Harwath; Eunsol Choi (CoRR, 2023)

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders. - Xuewen Yao; Miriam Mikhelson; S. Craig Watkins; Eunsol Choi; Edison Thomaz; Kaya de Barbaro (CoRR, 2023)

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation. - Fangyuan Xu; Weijia Shi; Eunsol Choi (CoRR, 2023)

Understanding Retrieval Augmentation for Long-Form Question Answering. - Hung-Ting Chen; Fangyuan Xu; Shane A. Arora; Eunsol Choi (CoRR, 2023)

Understanding Postpartum Parents' Experiences via Two Digital Platforms. - Xuewen Yao; Miriam Mikhelson; Megan Micheletti; Eunsol Choi; S. Craig Watkins; Edison Thomaz; Kaya de Barbaro (Proc. ACM Hum. Comput. Interact., 2023)

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. - Fangyuan Xu; Kyle Lo; Luca Soldaini; Bailey Kuehl; Eunsol Choi; David Wadden (ACL (Findings), 2024)

Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes. - Apoorva Gondimalla; Varshinee Sreekanth; Govind Joshi; Whitney Nelson; Eunsol Choi; Stephen C. Slota; Sherri R. Greenberg; Kenneth R. Fleischmann; Min Kyung Lee (CHI, 2024)

Textless Speech-to-Speech Translation With Limited Parallel Data. - Anuj Diwan; Anirudh Srinivasan; David Harwath; Eunsol Choi (EMNLP (Findings), 2024)

Exploring Design Choices for Building Language-Specific LLMs. - Atula Tejaswi; Nilesh Gupta; Eunsol Choi (EMNLP (Findings), 2024)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001; Anqi Mao; Yutao Zhong 002 (ICLR, 2024)

RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. - Fangyuan Xu; Weijia Shi; Eunsol Choi (ICLR, 2024)

BAT: Learning to Reason about Spatial Sounds with Large Language Models. - Zhisheng Zheng; Puyuan Peng; Ziyang Ma 001; Xie Chen 001; Eunsol Choi; David Harwath (ICML, 2024)

Complex Claim Verification with Evidence Retrieved in the Wild. - Jifan Chen; Grace Kim; Aniruddh Sriram; Greg Durrett; Eunsol Choi (NAACL-HLT, 2024)

Crafting In-context Examples according to LMs' Parametric Knowledge. - Yoonsang Lee 004; Pranav Atreya; Xi Ye; Eunsol Choi (NAACL-HLT (Findings), 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Neerkaje; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Eunsol Choi; Alex Dimakis; Aleksandar Bojchevski; Sujay Sanghavi (NeurIPS, 2024)

AmbigDocs: Reasoning across Documents on Different Entities under the Same Name. - Yoonsang Lee 004; Xi Ye; Eunsol Choi (CoRR, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Tejaswi; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Alex Dimakis; Eunsol Choi; Aleksandar Bojchevski; Sujay Sanghavi (CoRR, 2024)

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. - Zeyu Leo Liu; Shrey Pandit; Xi Ye; Eunsol Choi; Greg Durrett (CoRR, 2024)

Long-Form Answers to Visual Questions from Blind and Low Vision People. - Mina Huh; Fangyuan Xu; Yi-Hao Peng; Chongyan Chen; Hansika Murugu; Danna Gurari; Eunsol Choi; Amy Pavel (CoRR, 2024)

Contrastive Learning to Improve Retrieval for Real-world Fact Checking. - Aniruddh Sriram; Fangyuan Xu; Eunsol Choi; Greg Durrett (CoRR, 2024)

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions. - Michael J. Q. Zhang; W. Bradley Knox; Eunsol Choi (CoRR, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (CoRR, 2024)

RARe: Retrieval Augmented Retrieval with In-Context Examples. - Atula Tejaswi; Yoonsang Lee 004; Sujay Sanghavi; Eunsol Choi (CoRR, 2024)

Recycled Attention: Efficient inference for long-context language models. - Fangyuan Xu; Tanya Goyal; Eunsol Choi (CoRR, 2024)

Future of Information Retrieval Research in the Age of Generative AI. - James Allan; Eunsol Choi; Daniel P. Lopresti; Hamed Zamani (CoRR, 2024)

A Multi-sensory Kiosk Interface to Familiarize Users with New Foods. - Eunsol Choi; Younah Kang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

CaLMQA: Exploring culturally specific long-form question answering across 23 languages. - Shane Arora; Marzena Karpinska; Hung-Ting Chen; Ipsita Bhattacharjee; Mohit Iyyer; Eunsol Choi (ACL (1), 2025)

RefreshKV: Updating Small KV Cache During Long-form Generation. - Fangyuan Xu; Tanya Goyal; Eunsol Choi (ACL (1), 2025)

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions. - Michael Jq Zhang; W. Bradley Knox; Eunsol Choi (ICLR, 2025)

Open-World Evaluation for Retrieving Diverse Perspectives. - Hung-Ting Chen; Eunsol Choi (NAACL (Long Papers), 2025)

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. - Thom Lake; Eunsol Choi; Greg Durrett (NAACL (Long Papers), 2025)

Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs. - Michael J. Q. Zhang; Eunsol Choi (NAACL (Findings), 2025)

Improving LLM-as-a-Judge Inference with the Judgment Distribution. - Victor Wang; Michael J. Q. Zhang; Eunsol Choi (CoRR, 2025)

Scaling Rich Style-Prompted Text-to-Speech Datasets. - Anuj Diwan; Zhisheng Zheng; David Harwath; Eunsol Choi (CoRR, 2025)

On Language Models' Sensitivity to Suspicious Coincidences. - Sriram Padmanabhan; Kanishka Misra; Kyle Mahowald; Eunsol Choi (CoRR, 2025)

Rhapsody: A Dataset for Highlight Detection in Podcasts. - Younghan Park; Anuj Diwan; David Harwath; Eunsol Choi (CoRR, 2025)

PropMEND: Hypernetworks for Knowledge Propagation in LLMs. - Zeyu Leo Liu; Greg Durrett; Eunsol Choi (CoRR, 2025)

Learning to Reason Across Parallel Samples for LLM Reasoning. - Jianing Qi; Xi Ye; Hao Tang; Zhigang Zhu; Eunsol Choi (CoRR, 2025)

User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal. - Yuhan Liu; Michael J. Q. Zhang; Eunsol Choi (CoRR, 2025)