Junyi Jessy Li
Associate Professor
Works on discourse processing, natural language generation, pragmatics and language-model alignment.
Junyi Jessy Li's lab at UT Austin works on dialogue, generation & summarization, interpretability, evaluation & safety of LMs and trustworthy & safe ML. 56 papers since 2023, mostly Findings of ACL and Findings of EMNLP. 8 PhD students and 1 master's student. 20 alumni. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 1
- alumni listed
- 20
Papers by yearfrom the lab homepage, 2023–2026
- 18 papers2026 · T1 0 · collecting
- 14 papers2025 · T1 0
- 12 papers2024 · T1 0
- 12 papers2023 · T1 0
T1 venuesOtherVenues: Findings of ACL, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Dialogue, generation & summarization4 papers
- Interpretability, evaluation & safety of LMs4 papers
- Trustworthy & safe ML0 papers
- language-model0 papers
- language generation0 papers
Paper list
From the lab homepage.
202618 papers
- Findings of EMNLPCROCODIL: Cross-Model Code Editing with LLMs (opens in a new tab)
- Findings of ACLDecide less, communicate more: On the construct validity of end-to-end fact-checking in medicine (opens in a new tab)
- Findings of ACLFaithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence (opens in a new tab)
- DocInsights WorkshopGenerating Edit-Inducing Questions for AI Research Manuscripts (opens in a new tab)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)GENIE: A Fine-Grained Measure for Novelty (opens in a new tab)
- Association for Computational Linguistics (ACL)Improving the Distributional Alignment of LLMs using Supervision (opens in a new tab)
- The Lancet Digital Health, 10.1016/j.landig. .100960Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations (opens in a new tab)
- Demo, Association for Computational Linguistics (ACL-Demo)LinkNav: Surfacing Interconnected Information in Scientific Articles (opens in a new tab)
- International Conference on Machine Learning (ICML)LLMs Lean on Priors, Not Programming Language Semantics (opens in a new tab)
- International Workshop on Language Models and Programming Languages (IMPL)Predicting Program Exit Code with LLMs and Programming Language Semantics (opens in a new tab)
- IEEE International Symposium on Software Reliability Engineering (ISSRE)Retrofitting Code to Support Exceptional Behavior (opens in a new tab)
- Dialogue and DiscourseStrategic Dialogue Assessment: The Crooked Path to Innocence (opens in a new tab)
202514 papers
- International Conference on the Foundations of Software Engineering: Demo TrackA Tool for Generating Exceptional Behavior Tests With Large Language Models (opens in a new tab)
- Scientific ReportsApplication of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia (opens in a new tab)
- NeurIPS Datasets and Benchmarks TrackAstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy (opens in a new tab)
- Findings of ACLBehavioral Analysis of Information Salience in Large Language Models (opens in a new tab)
- JAMA Netw Open. ;8(7):e2521878Cancer Risk Concerns and Communication Gaps Regarding GLP-1 Medications (opens in a new tab)
- AHLI Conference on Health, Inference, and Learning (CHIL)Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? (opens in a new tab)
- Alzheimer’s & Dementia ; 11:e70145.Development and classification accuracy of an automated cognitive screening tool combining working memory and connected speech tasks for early detection of cognitive impairment in primary care (opens in a new tab)
- Conference on Language Modeling (COLM)EvalAgent: Discovering Implicit Evaluation Criteria from the Web (opens in a new tab)
- The Journals of Gerontology: Series B, ;, gbaf084Everyday Language and Cognitive Functioning in Late Life (opens in a new tab)
- International Conference on Software Engineering (ICSE)exLong: Generating Exceptional Behavior Tests with Large Language Models (opens in a new tab)
- Findings of ACLIs It JUST Semantics? A Case Study of Disourse Particle Understanding in LLMs (opens in a new tab)
- Conference on Language Modeling (COLM)QUDsim: Quantifying Discourse Similarities in LLM-Generated Text (opens in a new tab)
202412 papers
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Detection and Measurement of Syntactic Templates in Generated Text (opens in a new tab)
- Findings of EMNLPDo they mean ‘us’? Interpreting Referring Expressions in Intergroup Bias (opens in a new tab)
- Association for Computational Linguistics (ACL)FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence (opens in a new tab)
- Association for Computational Linguistics (ACL)InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification (opens in a new tab)
- Workshop on analyzing and interpreting neural networks for NLP (BlackboxNLP)Interpretable by Design: Wrapper Boxes Combine Neural Performance with Faithful Explanations (opens in a new tab)
- North American Chapter of the Association for Computational Linguistics (NAACL)Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion (opens in a new tab)
- Conference on Language Modeling (COLM)Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided (opens in a new tab)
- International Conference on Affective Computing and Intelligent Interaction (ACII)Large Language Models Produce Responses Perceived to be Empathic (opens in a new tab)
- Findings of EMNLPLearning to Refine with Fine-Grained Natural Language Feedback (opens in a new tab)
- Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)Sarcasm Detection in a Disaster Context (opens in a new tab)
- Conference on Language Modeling (COLM)Using Natural Language Explanations to Rescale Human Judgments (opens in a new tab)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Which questions should I answer? Salience Prediction of Inquisitive Questions (opens in a new tab)
202312 papers
- Dialogue and DiscourseAutomatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses (opens in a new tab)
- Findings of ACLCounterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias (opens in a new tab)
- Findings of ACLDiscourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion (opens in a new tab)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Elaborative Simplification as Implicit Questions Under Discussion (opens in a new tab)
- Findings of EMNLPEvaluating Subjective Cognitive Appraisals of Emotions from Large Language Models (opens in a new tab)
- European Chapter of the Association for Computational Linguistics (EACL)How people talk about each other: Modeling Generalized Intergroup Bias and Emotion (opens in a new tab)
- International Conference on Software Engineering (ICSE)Learning Deep Semantics for Test Completion (opens in a new tab)
- ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)Multilingual Code Co-Evolution Using Large Language Models (opens in a new tab)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Multilingual Simplification of Medical Texts (opens in a new tab)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing (opens in a new tab)
- Association for Computational Linguistics (ACL)Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success) (opens in a new tab)
- Association for Computational Linguistics (ACL)Unsupervised Summarization of Emotion Triggers (opens in a new tab)
Where alumni went20 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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