Scholar
Dan Jurafsky
Google Scholar ID: uZg9l58AAAAJ
Professor of Linguistics and Computer Science, Stanford University
Citations & Impact
Citations
51,933
H-index
95
i10-index
277
Publications
20
Co-authors
175
list available
Publications
Resume (English only)
Academic Achievements
- 2025 preprints include:
- - Tversky Neural Networks
- - AI for Sustainable Future Foods
- - ELEPHANT: Measuring and Understanding Social Sycophancy in LLMs
- - Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
- - Attention to Non-Adopters
- - Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations
- - The ML-SUPERB 2.0 challenge
- - From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
- - Mechanistic evaluation of Transformers and state space models
- - Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
- - Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
- - CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition
- - Language models cannot reliably distinguish belief from knowledge and fact
Research Experience
- Currently a Reynolds Professor in Humanities, Professor of Linguistics, and Professor of Computer Science at Stanford University. Teaching courses include 'Race and Natural Language Processing' (co-taught with Jennifer Eberhardt) and 'From Languages to Information'. Will teach 'The Language of Food' in the future.
Background
- Research interests: NLP and its implications for society, and its application to linguistics and other social and cognitive sciences. Past MacArthur Fellow, also works on the language of food.
Miscellany
- Personal interest: Research on the language of food
