Dan Jurafsky

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 192

Top Venues

Publications

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
KTO: Model Alignment as Prospect Theoretic Optimization. CoRR (2024)
Eva Portelance, Michael C. Frank, Dan Jurafsky
Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model. Cogn. Sci. 48 (5) (2024)
Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. CoRR (2024)
Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky
AnthroScore: A Computational Linguistic Measure of Anthropomorphism. EACL (1) (2024)
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. CoRR (2024)
Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR (2024)
Yiwei Luo, Kristina Gligoric, Dan Jurafsky
Othering and Low Status Framing of Immigrant Cuisines in US Restaurant Reviews and Large Language Models. ICWSM (2024)
Aryaman Arora, Dan Jurafsky, Christopher Potts
CausalGym: Benchmarking causal interpretability methods on linguistic tasks. CoRR (2024)
Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. SIGTYPE (2024)
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
ReFT: Representation Finetuning for Language Models. CoRR (2024)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding Gaps in Language Model Generations. NAACL-HLT (2024)
Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. CoRR (2024)
Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky
AnthroScore: A Computational Linguistic Measure of Anthropomorphism. CoRR (2024)
Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
A Benchmark for Learning to Translate a New Language from One Grammar Book. ICLR (2024)
Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky
Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks 79 (2024)
Jiatong Shi, Shih-Heng Wang, William Chen, Martijn Bartelds, Vanya Bannihatti Kumar, Jinchuan Tian, Xuankai Chang, Dan Jurafsky, Karen Livescu, Hung-yi Lee, Shinji Watanabe
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. CoRR (2024)
Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. NAACL-HLT (2024)
Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King
Dialect prejudice predicts AI decisions about people's character, employability, and criminality. CoRR (2024)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR (2024)
Myra Cheng, Esin Durmus, Dan Jurafsky
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. CoRR (2023)
Mirac Suzgun, Stuart M. Shieber, Dan Jurafsky
string2string: A Modern Python Library for String-to-String Algorithms. CoRR (2023)
Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. CoRR (2023)
Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
Foundation Models and Fair Use. CoRR (2023)
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR (2023)
Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa
Use large language models to promote equity. CoRR (2023)
Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR (2023)
Isabel Papadimitriou, Dan Jurafsky
Pretrain on just structure: Understanding linguistic inductive biases using transfer learning. CoRR (2023)
Isabel Papadimitriou, Kezia Lopez, Dan Jurafsky
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. EACL (Findings) (2023)
Isabel Papadimitriou, Dan Jurafsky
Injecting structural hints: Using language models to study inductive biases in language learning. EMNLP (Findings) (2023)
Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes. NeurIPS (2023)
Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky
Developing Speech Processing Pipelines for Police Accountability. CoRR (2023)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT (2023)
Connor Toups, Rishi Bommasani, Kathleen A. Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes. CoRR (2023)
Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL (2023)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) (2023)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding or Guesswork? Large Language Models are Presumptive Grounders. CoRR (2023)
Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. CoRR (2023)
Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES (2023)
Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky
Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching. CoRR (2023)
Myra Cheng, Esin Durmus, Dan Jurafsky
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. ACL (1) (2023)
Tolúlopé Ògúnrèmí, Dan Jurafsky, Christopher D. Manning
Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection. EACL (Findings) (2023)
Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR (2023)
Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. ACL (1) (2023)
Eva Portelance, Michael C. Frank, Dan Jurafsky
Learning the meanings of function words from grounded language using a visual question answering model. CoRR (2023)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR (2023)
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. EMNLP (2023)
Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky
Developing Speech Processing Pipelines for Police Accountability. INTERSPEECH (2023)
Yiwei Luo, Kristina Gligoric, Dan Jurafsky
Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models. CoRR (2023)
Junshen K. Chen, Dallas Card, Dan Jurafsky
Modular Domain Adaptation. CoRR (2022)
Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
When and why vision-language models behave like bags-of-words, and what to do about it? CoRR (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. NeurIPS (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR (2022)
Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. CoRR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR (2022)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) (2022)
Kawin Ethayarajh, Dan Jurafsky
How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. CoRR (2022)
Isabel Papadimitriou, Kezia Lopez, Dan Jurafsky
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. CoRR (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. CoRR (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
Richer Countries and Richer Representations. CoRR (2022)
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR (2022)
Nay San, Martijn Bartelds, Tolúlopé Ògúnrèmí, Alison Mount, Ruben Thompson, Michael Higgins, Roy Barker, Jane Simpson, Dan Jurafsky
Automated speech tools for helping communities process restricted-access corpora for language revival efforts. CoRR (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
Richer Countries and Richer Representations. ACL (Findings) (2022)
Kawin Ethayarajh, Dan Jurafsky
The Authenticity Gap in Human Evaluation. EMNLP (2022)
Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky
Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. CoRR (2022)
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR (2022)
Junshen K. Chen, Dallas Card, Dan Jurafsky
Modular Domain Adaptation. ACL (Findings) (2022)
William Held, Dan Iter, Dan Jurafsky
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. EMNLP (1) (2021)
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL/IJCNLP (1) (2021)
Michael Hahn, Dan Jurafsky, Richard Futrell
Sensitivity as a Complexity Measure for Sequence Classification Tasks. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky
Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages. ASRU (2021)
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
Frequency-based Distortions in Contextualized Word Embeddings. CoRR (2021)
Matthew Louis Mauriello, Thierry Lincoln, Grace Hon, Dorien Simon, Dan Jurafsky, Pablo Paredes
SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems. CHI Extended Abstracts (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR (2021)
Michael Hahn, Dan Jurafsky, Richard Futrell
Sensitivity as a Complexity Measure for Sequence Classification Tasks. Trans. Assoc. Comput. Linguistics 9 (2021)
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. NAACL-HLT (2021)
Kawin Ethayarajh, Dan Jurafsky
Attention Flows are Shapley Value Explanations. ACL/IJCNLP (2) (2021)
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. CoRR (2021)
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
Nearest Neighbor Machine Translation. ICLR (2021)
Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky
Leveraging neural representations for facilitating access to untranscribed speech from endangered languages. CoRR (2021)
William Held, Dan Iter, Dan Jurafsky
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. CoRR (2021)
Kawin Ethayarajh, Dan Jurafsky
Attention Flows are Shapley Value Explanations. CoRR (2021)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. NAACL-HLT (2021)
Alex Tamkin, Dan Jurafsky, Noah D. Goodman
Language Through a Prism: A Spectral Approach for Multiscale Language Representations. CoRR (2020)
Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL (2020)
Yiwei Luo, Dallas Card, Dan Jurafsky
DeSMOG: Detecting Stance in Media On Global Warming. EMNLP (Findings) (2020)
Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin
The Role of Verb Semantics in Hungarian Verb-Object Order. CoRR (2020)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. CoRR (2020)
Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. CoRR (2020)
Yiwei Luo, Dallas Card, Dan Jurafsky
DeSMOG: Detecting Stance in Media On Global Warming. CoRR (2020)
Kawin Ethayarajh, Dan Jurafsky
Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) (2020)
Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky
A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers Artif. Intell. 3 (2020)
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
Nearest Neighbor Machine Translation. CoRR (2020)
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
Generalization through Memorization: Nearest Neighbor Language Models. ICLR (2020)
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
With Little Power Comes Great Responsibility. CoRR (2020)
Isabel Papadimitriou, Dan Jurafsky
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models. EMNLP (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dan Jurafsky