Dan Jurafsky
Reynolds Professor in Humanities, Professor of Linguistics, Professor of Computer Science Stanford University
Studies natural language processing and computational social science, including language in society.
Dan Jurafsky's lab at Stanford works on language & society and computational social science. 59 papers since 2023, 23 at top venues, mostly NAACL and Interspeech. 8 PhD students. 108 alumni, most often to Anthropic and Google. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 39%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 108
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 19 papers2025 · T1 9
- 20 papers2024 · T1 9
- 20 papers2023 · T1 5
T1 venuesOtherVenues: NAACL, Interspeech, ICLR, ICML, ACL
Research focuspaper titles that use each topic's words
- Language & society18 papers
- Computational social science2 papers
- society0 papers
- social science0 papers
- computational social0 papers
Paper list
From the lab homepage.
202519 papers
- Interspeech (T1)"The ML-SUPERB 2.0 challenge: Towards inclusive ASR benchmarking for all language varieties." (opens in a new tab)
- Science (T1)Advancing science-and evidence-based AI policy. (opens in a new tab)
- ICML (T1)AxBench: Steering LLMs? Even simple baselines outperform sparse autoencoders. (opens in a new tab)
- COLM .Bayesian scaling laws for in-context learning (opens in a new tab)
- NAACL (T1)Can Unconfident LLM Annotations Be Used for Confident Conclusions? (opens in a new tab)
- ICASSP (T1)Constructing Datasets From Public Police Body Camera Footage. (opens in a new tab)
- ICLR (T1)h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment (opens in a new tab)
- COLM .Humans overrely on overconfident language models, across languages (opens in a new tab)
- ACL (T1)HumT DumT: Measuring and controlling human-like language in LLMs. (opens in a new tab)
- Draft to appear, EMNLP .In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties. (opens in a new tab)
- Nature Machine Intellgence.Language models cannot reliably distinguish belief from knowledge and fact (opens in a new tab)
- NeurIPS Mechanistic Interpretability Workshop SpotlightMechanistic evaluation of Transformers and state space models (opens in a new tab)
202420 papers
- ICLR (T1)A Benchmark for Learning to Translate a New Language from One Grammar Book. (opens in a new tab)
- Interspeech (T1)A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models (opens in a new tab)
- Nature (T1)AI generates covertly racist decisions about people based on their dialect. (opens in a new tab)
- EACLAnthroScore: A Computational Linguistic Measure of Anthropomorphism (opens in a new tab)
- The Lancet Digital Health, 6:1, e12-e22.Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study (opens in a new tab)
- Proceedings of ACL. Outstanding Paper Award, and Senior Area Chair Award.CausalGym: Benchmarking causal interpretability methods on linguistic tasks. (opens in a new tab)
- COLM .Data Checklist: On Unit-Testing Datasets with Usable Information. (opens in a new tab)
- NAACL (T1)Grounding Gaps in Language Model Generations (opens in a new tab)
- ICML (T1)How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis (opens in a new tab)
- ICML (T1)KTO: Model Alignment as Prospect Theoretic Optimization. (opens in a new tab)
- Cognitive Science 48:5.Learning the meanings of function words from grounded language using a visual question answering model (opens in a new tab)
- PNAS Nexus 3 (9).Leveraging body-worn camera footage to assess the effects of training on officer communication during traffic stops. (opens in a new tab)
202320 papers
- The Lancet Digital Health, 6:1, e12-e22.Assessing the potential of GPT-4 to perpetuat racial and gender biases in health care: a model evaluation study (opens in a new tab)
- (Also public draft version here). Educational Evaluation and Policy Analysis, Nov.Can Automated Feedback Improve Teachers’ Uptake of Student Ideas? Evidence From a Randomized Controlled Trial In a Large-Scale Online Course (opens in a new tab)
- Interspeech (T1)Developing Speech Processing Pipelines for Police Accountability (opens in a new tab)
- FAccTEasily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. (opens in a new tab)
- NeurIPS (T1)Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes (opens in a new tab)
- PNAS 120 (23).Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments (opens in a new tab)
- Findings of ACLFollow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. (opens in a new tab)
- JMLR (T1)Foundation Models and Fair Use (opens in a new tab)
- Findings of EMNLPInjecting structural hints: Using language models to study inductive biases in language learning (opens in a new tab)
- In Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-6). Association for Computational Linguistics.Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. (opens in a new tab)
- ACL (T1)Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation (opens in a new tab)
- ACL . ACL Social Impact Award.Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. (opens in a new tab)
Where alumni went108 listed, 56% to industry
Industry 14Academia 11
Most often to
- Anthropic
- Meta
Also to
- Stanford University
- Cornell University
- Harvard University
Apply to StanfordFall 2027
Stanford Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- See program page
Confirmed on the program page.
Similar labsnearest by research summary
- USUIUC
Dilek Hakkani-Tur
- Dialogue, generation & summarization
- GBImperial
Oana-Maria Camburu
- Interpretability, evaluation & safety of LMs
- USMIT
Jacob Andreas
39 T1 - USUC Berkeley
David Bamman
- Language & society
- CNPeking
Sujian Li
- Dialogue, generation & summarization
- DETUM
Florian Matthes
- Accelerators, chips & architecture
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Stanfordcloses