Eunsol Choi

Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users ACL 2026 SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks ACL 2026 RefreshKV: Updating Small KV Cache During Long-form Generation ACL 2025 CaLMQA: Exploring culturally specific long-form question answering across 23 languages ACL 2025 From Distributional to Overton Pluralism: Investigating Large Language Model Alignment NAACL 2025 Open-World Evaluation for Retrieving Diverse Perspectives NAACL 2025 User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal EMNLP 2025 Scaling Rich Style-Prompted Text-to-Speech Datasets EMNLP 2025 Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs NAACL 2025 Improving LLM-as-a-Judge Inference with the Judgment Distribution EMNLP 2025 Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions ICLR 2025 Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025 Textless Speech-to-Speech Translation With Limited Parallel Data EMNLP 2024 Exploring Design Choices for Building Language-Specific LLMs EMNLP 2024 Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024 Complex Claim Verification with Evidence Retrieved in the Wild NAACL 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024 KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions ACL 2024 BAT: Learning to Reason about Spatial Sounds with Large Language Models ICML 2024 RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation ICLR 2024 Learning to Reject with a Fixed Predictor: Application to Decontextualization ICLR 2024 Contrastive Learning to Improve Retrieval for Real-World Fact Checking EMNLP 2024 DiffQG: Generating Questions to Summarize Factual Changes EACL 2023 Propagating Knowledge Updates to LMs Through Distillation NIPS 2023 A Critical Evaluation of Evaluations for Long-form Question Answering ACL 2023 Mitigating Temporal Misalignment by Discarding Outdated Facts EMNLP 2023 Quantifying Train-Evaluation Overlap with Nearest Neighbors ACL 2023 Continually Improving Extractive QA via Human Feedback EMNLP 2023 When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants ACL 2023 Concise Answers to Complex Questions: Summarization of Long-form Answers ACL 2023 Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge ACL 2023 longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. NAACL 2022 Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines ACL 2022 How Do We Answer Complex Questions: Discourse Structure of Long-form Answers ACL 2022 Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022 Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality EMNLP 2022 Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022 Generating Literal and Implied Subquestions to Fact-check Complex Claims EMNLP 2022 Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources EMNLP 2022 TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages EMNLP 2022 Modeling Exemplification in Long-form Question Answering via Retrieval NAACL 2022 Entity Cloze By Date: What LMs Know About Unseen Entities NAACL 2022 MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages NAACL 2022 Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval IJCNLP 2021 SituatedQA: Incorporating Extra-Linguistic Contexts into QA EMNLP 2021 Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021 Can NLI Models Verify QA Systems’ Predictions? EMNLP 2021 Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval ACL 2021 Knowing More About Questions Can Help: Improving Calibration in Question Answering ACL 2021 XOR QA: Cross-lingual Open-Retrieval Question Answering NAACL 2021 Knowing More About Questions Can Help: Improving Calibration in Question Answering IJCNLP 2021 Entities as Experts: Sparse Memory Access with Entity Supervision EMNLP 2020 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop ACL 2019 MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension EMNLP 2019 Proceedings of the 2nd Workshop on Machine Reading for Question Answering EMNLP 2019 FlowQA: Grasping Flow in History for Conversational Machine Comprehension ICLR 2019 No Permanent Friends or Enemies: Tracking Relationships between Nations from News NAACL 2019 pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference NAACL 2019 Neural Metaphor Detection in Context EMNLP 2018 QuAC: Question Answering in Context EMNLP 2018 Ultra-Fine Entity Typing ACL 2018 Proceedings of the Workshop on Machine Reading for Question Answering ACL 2018 Coarse-to-Fine Question Answering for Long Documents ACL 2017 Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking EMNLP 2017 Zero-Shot Relation Extraction via Reading Comprehension CONLL 2017 TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 2017 Proceedings of the NAACL Student Research Workshop NAACL 2016 Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL 2016 Scalable Semantic Parsing with Partial Ontologies IJCNLP 2015 Scalable Semantic Parsing with Partial Ontologies ACL 2015 Scaling Semantic Parsers with On-the-Fly Ontology Matching EMNLP 2013