Dan Jurafsky - RankMe

306 papers A* 44A 13B 9C 5Misc 2Journal 153Unranked 77

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs. CoRR Myra Cheng, Robert D. Hawkins, Dan Jurafsky
2026	—	`conf`	Beyond Tokens: Concept-Level Training Objectives for LLMs. EACL (Volume 2: Short Papers) Laya Iyer, Pranav Somani, Alice Guo, Dan Jurafsky, Chen Shani
2026	J	`jnl`	Beyond Tokens: Concept-Level Training Objectives for LLMs. CoRR Laya Iyer, Pranav Somani, Alice Guo, Dan Jurafsky, Chen Shani
2026	J	`jnl`	Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition. CoRR Nathan Roll, Pranav Bhalerao, Martijn Bartelds, Arjun Pawar, Yuka Tatsumi, Tolúlopé Ògúnrèmí, Chen Shani, Calbert Graham, Meghan Sumner, Dan Jurafsky
2026	J	`jnl`	Concept Training for Human-Aligned Language Models. CoRR Christine Zhang, Dan Jurafsky, Chen Shani
2026	—	`conf`	Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. EACL (Volume 1: Long Papers) Mirac Suzgun, Mert Yüksekgönül, Federico Bianchi, Dan Jurafsky, James Zou
2026	J	`jnl`	SumTablets: A Transliteration Dataset of Sumerian Tablets. CoRR Cole Simmons, Richard Diehl Martinez, Dan Jurafsky
2026	J	`jnl`	The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices? CoRR Chen Shani, Yuval Reif, Nathan Roll, Dan Jurafsky, Ekaterina Shutova
2026	—	`conf`	Verbalizing LLMs' Assumptions About the User to Calibrate Expectations and Reduce Sycophancy. CHI Extended Abstracts Myra Cheng, Sunny Yu, Lujain Ibrahim, Diyi Yang, Dan Jurafsky
2025	J	`jnl`	AI for Sustainable Future Foods. CoRR Bianca Datta, Markus J. Buehler, Yvonne Chow, Kristina Gligoric, Dan Jurafsky, David L. Kaplan, Rodrigo Ledesma-Amaro, Giorgia Del Missier, Lisa Neidhardt, Karim Pichara, Benjamín Sánchez-Lengeling, Miek Schlangen, Skyler R. St. Pierre, Ilias Tagkopoulos, Anna T. Thomas, Nicholas James Watson, Ellen Kuhl
2025	J	`jnl`	Advancing Science- and Evidence-based AI Policy. CoRR Rishi Bommasani, Sanjeev Arora, Jennifer T. Chayes, Yejin Choi, Mariano-Florentino Cuellar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott R. Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
2025	J	`jnl`	Attention to Non-Adopters. CoRR Kaitlyn Zhou, Kristina Gligoric, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Hannah Cha, Dan Jurafsky
2025	A*	`conf`	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. ICML Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025	J	`jnl`	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. CoRR Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025	J	`jnl`	CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition. CoRR Martijn Bartelds, Ananjan Nandi, Moussa Koulako Bala Doumbouya, Dan Jurafsky, Tatsunori Hashimoto, Karen Livescu
2025	—	`conf`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL (Long Papers) Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2025	Misc	`conf`	Constructing Datasets From Public Police Body Camera Footage. ICASSP Jamie Rosas-Smith, Martijn Bartelds, Ruizhe Huang, Leibny Paola García-Perera, Karen Livescu, Dan Jurafsky, Anjalie Field
2025	J	`jnl`	Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations. CoRR Moran Mizrahi, Chen Shani, Gabriel Stanovsky, Dan Jurafsky, Dafna Shahaf
2025	J	`jnl`	Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. CoRR Mirac Suzgun, Mert Yüksekgönül, Federico Bianchi, Dan Jurafsky, James Zou
2025	—	`conf`	False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models. EMNLP (Findings) Julie Kallini, Dan Jurafsky, Christopher Potts, Martijn Bartelds
2025	J	`jnl`	False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models. CoRR Julie Kallini, Dan Jurafsky, Christopher Potts, Martijn Bartelds
2025	J	`jnl`	From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning. CoRR Chen Shani, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv
2025	J	`jnl`	Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations. CoRR Sunny Yu, Ahmad Jabbar, Robert Hawkins, Dan Jurafsky, Myra Cheng
2025	—	`conf`	HumT DumT: Measuring and controlling human-like language in LLMs. ACL (1) Myra Cheng, Sunny Yu, Dan Jurafsky
2025	J	`jnl`	HumT DumT: Measuring and controlling human-like language in LLMs. CoRR Myra Cheng, Sunny Yu, Dan Jurafsky
2025	J	`jnl`	Humans overrely on overconfident language models, across languages. CoRR Neil Rathi, Dan Jurafsky, Kaitlyn Zhou
2025	A*	`conf`	In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties. EMNLP Nathan Roll, Calbert Graham, Yuka Tatsumi, Kim Tien Nguyen, Meghan Sumner, Dan Jurafsky
2025	J	`jnl`	In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties. CoRR Nathan Roll, Calbert Graham, Yuka Tatsumi, Kim Tien Nguyen, Meghan Sumner, Dan Jurafsky
2025	J	`jnl`	Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects. CoRR Isabel O. Gallegos, Chen Shani, Weiyan Shi, Federico Bianchi, Izzy Gainsburg, Dan Jurafsky, Robb Willer
2025	J	`jnl`	Mechanistic evaluation of Transformers and state space models. CoRR Aryaman Arora, Neil Rathi, Nikil Roashan Selvam, Róbert Csórdas, Dan Jurafsky, Christopher Potts
2025	—	`conf`	REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. NAACL (Long Papers) Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
2025	—	`conf`	Rethinking Word Similarity: Semantic Similarity through Classification Confusion. NAACL (Long Papers) Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani
2025	J	`jnl`	Rethinking Word Similarity: Semantic Similarity through Classification Confusion. CoRR Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani
2025	J	`jnl`	Social Sycophancy: A Broader Understanding of LLM Sycophancy. CoRR Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky
2025	B	`conf`	Soft production preferences emerge from a bottleneck on memory. CogSci Neil Rathi, Richard Futrell, Dan Jurafsky
2025	J	`jnl`	Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence. CoRR Myra Cheng, Cinoo Lee, Pranav Khadpe, Sunny Yu, Dyllan Han, Dan Jurafsky
2025	A	`conf`	The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties. INTERSPEECH William Chen, Chutong Meng, Jiatong Shi, Martijn Bartelds, Shih-Heng Wang, Hsiu-Hsuan Wang, Rafael Mosquera, Sara Hincapie, Dan Jurafsky, Antonis Anastasopoulos, Hung-yi Lee, Karen Livescu, Shinji Watanabe
2025	J	`jnl`	The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties. CoRR William Chen, Chutong Meng, Jiatong Shi, Martijn Bartelds, Shih-Heng Wang, Hsiu-Hsuan Wang, Rafael Mosquera, Sara Hincapie, Dan Jurafsky, Antonis Anastasopoulos, Hung-yi Lee, Karen Livescu, Shinji Watanabe
2025	C	`conf`	Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models. ASRU Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky, Karen Livescu
2025	J	`jnl`	Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models. CoRR Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky, Karen Livescu
2025	J	`jnl`	Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity. CoRR Moussa Koulako Bala Doumbouya, Dan Jurafsky, Christopher D. Manning
2025	A*	`conf`	What can large language models do for sustainable food? ICML Anna T. Thomas, Adam Yee, Andrew Mayne, Maya B. Mathur, Dan Jurafsky, Kristina Gligoric
2025	J	`jnl`	What can large language models do for sustainable food? CoRR Anna T. Thomas, Adam Yee, Andrew Mayne, Maya B. Mathur, Dan Jurafsky, Kristina Gligoric
2025	A*	`conf`	h4rm3l: A Language for Composable Jailbreak Attack Synthesis. ICLR Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning
2024	A*	`conf`	A Benchmark for Learning to Translate a New Language from One Grammar Book. ICLR Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
2024	A	`conf`	A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models. INTERSPEECH Antón de la Fuente, Dan Jurafsky
2024	J	`jnl`	A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models. CoRR Antón de la Fuente, Dan Jurafsky
2024	J	`jnl`	AI generates covertly racist decisions about people based on their dialect. Nat. Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King
2024	—	`conf`	AnthroScore: A Computational Linguistic Measure of Anthropomorphism. EACL (1) Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky
2024	J	`jnl`	AnthroScore: A Computational Linguistic Measure of Anthropomorphism. CoRR Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky
2024	J	`jnl`	Bayesian scaling laws for in-context learning. CoRR Aryaman Arora, Dan Jurafsky, Christopher Potts, Noah D. Goodman
2024	J	`jnl`	Belief in the Machine: Investigating Epistemological Blind Spots of Language Models. CoRR Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou
2024	J	`jnl`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? CoRR Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2024	—	`conf`	CausalGym: Benchmarking causal interpretability methods on linguistic tasks. ACL (1) Aryaman Arora, Dan Jurafsky, Christopher Potts
2024	J	`jnl`	CausalGym: Benchmarking causal interpretability methods on linguistic tasks. CoRR Aryaman Arora, Dan Jurafsky, Christopher Potts
2024	J	`jnl`	Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky
2024	J	`jnl`	Data Checklist: On Unit-Testing Datasets with Usable Information. CoRR Heidi C. Zhang, Shabnam Behzad, Kawin Ethayarajh, Dan Jurafsky
2024	J	`jnl`	Dialect prejudice predicts AI decisions about people's character, employability, and criminality. CoRR Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King
2024	—	`conf`	Grounding Gaps in Language Model Generations. NAACL-HLT Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2024	A*	`conf`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. ICML Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	J	`jnl`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	J	`jnl`	KTO: Model Alignment as Prospect Theoretic Optimization. CoRR Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2024	J	`jnl`	Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model. Cogn. Sci. Eva Portelance, Michael C. Frank, Dan Jurafsky
2024	A	`conf`	ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. INTERSPEECH 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
2024	J	`jnl`	ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. CoRR 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
2024	A*	`conf`	Model Alignment as Prospect Theoretic Optimization. ICML Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2024	—	`conf`	NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. NAACL-HLT Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky
2024	J	`jnl`	NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. CoRR Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky
2024	A	`conf`	Othering and Low Status Framing of Immigrant Cuisines in US Restaurant Reviews and Large Language Models. ICWSM Yiwei Luo, Kristina Gligoric, Dan Jurafsky
2024	—	`conf`	Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. SIGTYPE Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky
2024	J	`jnl`	Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. CoRR Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky
2024	A*	`conf`	ReFT: Representation Finetuning for Language Models. NeurIPS Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2024	J	`jnl`	ReFT: Representation Finetuning for Language Models. CoRR Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2024	J	`jnl`	Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. CoRR Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
2024	A*	`conf`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2024	J	`jnl`	h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment. CoRR Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning
2024	—	`conf`	string2string: A Modern Python Library for String-to-String Algorithms. ACL (3) Mirac Suzgun, Stuart M. Shieber, Dan Jurafsky
2023	J	`jnl`	A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
2023	A	`conf`	Developing Speech Processing Pipelines for Police Accountability. INTERSPEECH Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky
2023	J	`jnl`	Developing Speech Processing Pipelines for Police Accountability. CoRR Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky
2023	—	`conf`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2023	A*	`conf`	Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes. NeurIPS Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang
2023	J	`jnl`	Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes. CoRR Connor Toups, Rishi Bommasani, Kathleen A. Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang
2023	—	`conf`	Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2023	J	`jnl`	Foundation Models and Fair Use. CoRR Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
2023	J	`jnl`	Foundation Models and Fair Use. J. Mach. Learn. Res. Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
2023	J	`jnl`	Grounding or Guesswork? Large Language Models are Presumptive Grounders. CoRR Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2023	—	`conf`	Injecting structural hints: Using language models to study inductive biases in language learning. EMNLP (Findings) Isabel Papadimitriou, Dan Jurafsky
2023	J	`jnl`	Learning the meanings of function words from grounded language using a visual question answering model. CoRR Eva Portelance, Michael C. Frank, Dan Jurafsky
2023	J	`jnl`	Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. CoRR Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky
2023	—	`conf`	Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. ACL (1) Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
2023	J	`jnl`	Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. CoRR Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
2023	—	`conf`	Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. ACL (1) Myra Cheng, Esin Durmus, Dan Jurafsky
2023	J	`jnl`	Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. CoRR Myra Cheng, Esin Durmus, Dan Jurafsky
2023	—	`conf`	Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection. EACL (Findings) Tolúlopé Ògúnrèmí, Dan Jurafsky, Christopher D. Manning
2023	—	`conf`	Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. EACL (Findings) Isabel Papadimitriou, Kezia Lopez, Dan Jurafsky
2023	J	`jnl`	Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching. CoRR Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky
2023	J	`jnl`	Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023	A*	`conf`	Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. EMNLP Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023	J	`jnl`	Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models. CoRR Yiwei Luo, Kristina Gligoric, Dan Jurafsky
2023	J	`jnl`	Pretrain on just structure: Understanding linguistic inductive biases using transfer learning. CoRR Isabel Papadimitriou, Dan Jurafsky
2023	J	`jnl`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2023	C	`conf`	Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
2023	J	`jnl`	Use large language models to promote equity. CoRR 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
2023	A	`conf`	When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto
2023	A*	`conf`	When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
2023	J	`jnl`	string2string: A Modern Python Library for String-to-String Algorithms. CoRR Mirac Suzgun, Stuart M. Shieber, Dan Jurafsky
2022	J	`jnl`	Automated speech tools for helping communities process restricted-access corpora for language revival efforts. CoRR Nay San, Martijn Bartelds, Tolúlopé Ògúnrèmí, Alison Mount, Ruben Thompson, Michael Higgins, Roy Barker, Jane Simpson, Dan Jurafsky
2022	J	`jnl`	Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. CoRR Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky
2022	J	`jnl`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2022	J	`jnl`	Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	J	`jnl`	How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. CoRR Kawin Ethayarajh, Dan Jurafsky
2022	—	`conf`	Modular Domain Adaptation. ACL (Findings) Junshen K. Chen, Dallas Card, Dan Jurafsky
2022	J	`jnl`	Modular Domain Adaptation. CoRR Junshen K. Chen, Dallas Card, Dan Jurafsky
2022	J	`jnl`	Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. CoRR Isabel Papadimitriou, Kezia Lopez, Dan Jurafsky
2022	A*	`conf`	Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
2022	J	`jnl`	Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
2022	A*	`conf`	Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. NeurIPS Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
2022	J	`jnl`	Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. CoRR Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
2022	—	`conf`	Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022	J	`jnl`	Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022	A*	`conf`	Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	J	`jnl`	Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	—	`conf`	Richer Countries and Richer Representations. ACL (Findings) Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022	J	`jnl`	Richer Countries and Richer Representations. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022	J	`jnl`	Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. CoRR Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
2022	A*	`conf`	The Authenticity Gap in Human Evaluation. EMNLP Kawin Ethayarajh, Dan Jurafsky
2022	J	`jnl`	When and why vision-language models behave like bags-of-words, and what to do about it? CoRR Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
2021	—	`conf`	Attention Flows are Shapley Value Explanations. ACL/IJCNLP (2) Kawin Ethayarajh, Dan Jurafsky
2021	J	`jnl`	Attention Flows are Shapley Value Explanations. CoRR Kawin Ethayarajh, Dan Jurafsky
2021	—	`conf`	Causal Effects of Linguistic Properties. NAACL-HLT Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
2021	—	`conf`	Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. EMNLP (1) William Barr Held, Dan Iter, Dan Jurafsky
2021	J	`jnl`	Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. CoRR William Barr Held, Dan Iter, Dan Jurafsky
2021	J	`jnl`	Frequency-based Distortions in Contextualized Word Embeddings. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2021	—	`conf`	Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. NAACL-HLT Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky
2021	C	`conf`	Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages. ASRU Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky
2021	J	`jnl`	Leveraging neural representations for facilitating access to untranscribed speech from endangered languages. CoRR Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky
2021	—	`conf`	Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL/IJCNLP (1) Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
2021	J	`jnl`	Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. CoRR Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
2021	A*	`conf`	Nearest Neighbor Machine Translation. ICLR Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. 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 E. 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.
2021	—	`conf`	SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems. CHI Extended Abstracts Matthew Louis Mauriello, Thierry Lincoln, Grace Hon, Dorien Simon, Dan Jurafsky, Pablo Paredes
2021	J	`jnl`	Sensitivity as a Complexity Measure for Sequence Classification Tasks. CoRR Michael Hahn, Dan Jurafsky, Richard Futrell
2021	J	`jnl`	Sensitivity as a Complexity Measure for Sequence Classification Tasks. Trans. Assoc. Comput. Linguistics Michael Hahn, Dan Jurafsky, Richard Futrell
2021	B	`conf`	The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
2021	J	`jnl`	The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
2020	J	`jnl`	A Framework for the Computational Linguistic Analysis of Dehumanization. CoRR Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky
2020	J	`jnl`	A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers Artif. Intell. Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky
2020	J	`jnl`	Assessing the accuracy of automatic speech recognition for psychotherapy. npj Digit. Medicine Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah
2020	A*	`conf`	Automatically Neutralizing Subjective Bias in Text. AAAI Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2020	J	`jnl`	Causal Effects of Linguistic Properties. CoRR Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
2020	—	`conf`	DeSMOG: Detecting Stance in Media On Global Warming. EMNLP (Findings) Yiwei Luo, Dallas Card, Dan Jurafsky
2020	J	`jnl`	DeSMOG: Detecting Stance in Media On Global Warming. CoRR Yiwei Luo, Dallas Card, Dan Jurafsky
2020	A*	`conf`	Generalization through Memorization: Nearest Neighbor Language Models. ICLR Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020	J	`jnl`	Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. CoRR Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky
2020	A*	`conf`	Language Through a Prism: A Spectral Approach for Multiscale Language Representations. NeurIPS Alex Tamkin, Dan Jurafsky, Noah D. Goodman
2020	J	`jnl`	Language Through a Prism: A Spectral Approach for Multiscale Language Representations. CoRR Alex Tamkin, Dan Jurafsky, Noah D. Goodman
2020	—	`conf`	Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models. EMNLP (1) Isabel Papadimitriou, Dan Jurafsky
2020	J	`jnl`	Nearest Neighbor Machine Translation. CoRR Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020	J	`jnl`	Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models. CoRR Isabel Papadimitriou, Dan Jurafsky
2020	A*	`conf`	Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky
2020	J	`jnl`	Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. CoRR Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky
2020	A*	`ed.`	Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 ACL Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault
2020	J	`jnl`	Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel
2020	A*	`conf`	Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi
2020	J	`jnl`	The Role of Verb Semantics in Hungarian Verb-Object Order. CoRR Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin
2020	J	`jnl`	Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau
2020	—	`conf`	Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) Kawin Ethayarajh, Dan Jurafsky
2020	J	`jnl`	Utility is in the Eye of the User: A Critique of NLP Leaderboards. CoRR Kawin Ethayarajh, Dan Jurafsky
2020	—	`conf`	With Little Power Comes Great Responsibility. EMNLP (1) Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2020	J	`jnl`	With Little Power Comes Great Responsibility. CoRR Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2019	—	`conf`	Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. NAACL-HLT (1) Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky
2019	J	`jnl`	Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. CoRR Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky
2019	J	`jnl`	Automatically Neutralizing Subjective Bias in Text. CoRR Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2019	—	`conf`	From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers. LChange@ACL Yiwei Luo, Dan Jurafsky, Beth Levin
2019	J	`jnl`	Generalization through Memorization: Nearest Neighbor Language Models. CoRR Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2019	—	`conf`	Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. EMNLP/IJCNLP (1) Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran
2019	J	`jnl`	Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. CoRR Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran
2019	—	`conf`	Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms. NAACL-HLT (1) Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard H. Hovy
2019	—	`conf`	Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen
2019	J	`jnl`	Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. CoRR Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser
2019	A*	`conf`	Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities. CHI Diyi Yang, Robert E. Kraut, Tenbroeck Smith, Elijah Mayfield, Dan Jurafsky
2019	J	`jnl`	Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi
2018	B	`conf`	An Information-Theoretic Explanation of Adjective Ordering Preferences. CogSci Michael Hahn, Judith Degen, Noah D. Goodman, Dan Jurafsky, Richard Futrell
2018	—	`conf`	Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia. CLPsych@NAACL-HTL Dan Iter, Jong Yoon, Dan Jurafsky
2018	A*	`conf`	Community Interaction and Conflict on the Web. WWW Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky
2018	J	`jnl`	Community Interaction and Conflict on the Web. CoRR Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky
2018	—	`conf`	Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner
2018	J	`jnl`	Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer L. Eberhardt, Dan Jurafsky
2018	A*	`conf`	Embedding Logical Queries on Knowledge Graphs. NeurIPS William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2018	A*	`conf`	Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies. EMNLP Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov
2018	J	`jnl`	Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. CoRR Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov
2018	B	`conf`	JESC: Japanese-English Subtitle Corpus. LREC Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz
2018	J	`jnl`	Measuring the Evolution of a Scientific Field through Citation Frames. Trans. Assoc. Comput. Linguistics David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky
2018	—	`conf`	Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction. NAACL-HLT Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Y. Ng, Dan Jurafsky
2018	J	`jnl`	Querying Complex Networks in Vector Space. CoRR William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2018	B	`conf`	RtGender: A Corpus for Studying Differential Responses to Gender. LREC Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov
2018	—	`conf`	Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. ACL (1) Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky
2018	J	`jnl`	Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. CoRR Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky
2018	A*	`conf`	Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang
2018	J	`jnl`	Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang
2018	J	`jnl`	Word embeddings quantify 100 years of gender and ethnic stereotypes. Proc. Natl. Acad. Sci. USA Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou
2017	—	`conf`	A Two-stage Sieve Approach for Quote Attribution. EACL (1) Grace Muzny, Michael Fang, Angel X. Chang, Dan Jurafsky
2017	J	`jnl`	A scaffolding approach to coreference resolution integrating statistical and rule-based models. Nat. Lang. Eng. Heeyoung Lee, Mihai Surdeanu, Dan Jurafsky
2017	A*	`conf`	Adversarial Learning for Neural Dialogue Generation. EMNLP Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky
2017	J	`jnl`	Adversarial Learning for Neural Dialogue Generation. CoRR Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky
2017	A	`conf`	Community Identity and User Engagement in a Multi-Community Landscape. ICWSM Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Community Identity and User Engagement in a Multi-Community Landscape. CoRR Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Data Distillation for Controlling Specificity in Dialogue Generation. CoRR Jiwei Li, Will Monroe, Dan Jurafsky
2017	—	`conf`	Data Noising as Smoothing in Neural Network Language Models. ICLR (Poster) Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng
2017	J	`jnl`	Data Noising as Smoothing in Neural Network Language Models. CoRR Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng
2017	J	`jnl`	Dialogism in the novel: A computational model of the dialogic nature of narration and quotations. Digit. Scholarsh. Humanit. Grace Muzny, Mark Algee-Hewitt, Dan Jurafsky
2017	—	`conf`	Incorporating Dialectal Variability for Socially Equitable Language Identification. ACL (2) David Jurgens, Yulia Tsvetkov, Dan Jurafsky
2017	J	`jnl`	JESC: Japanese-English Subtitle Corpus. CoRR Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz
2017	J	`jnl`	Learning to Decode for Future Success. CoRR Jiwei Li, Will Monroe, Dan Jurafsky
2017	A	`conf`	Loyalty in Online Communities. ICWSM William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Loyalty in Online Communities. CoRR William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	A*	`conf`	Neural Net Models of Open-domain Discourse Coherence. EMNLP Jiwei Li, Dan Jurafsky
2017	—	`conf`	Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR Reid Pryzant, Youngjoo Chung, Dan Jurafsky
2017	J	`jnl`	Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes. CoRR Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou
2017	—	`conf`	Writer Profiling Without the Writer's Text. SocInfo (2) David Jurgens, Yulia Tsvetkov, Dan Jurafsky
2016	J	`jnl`	A Simple, Fast Diverse Decoding Algorithm for Neural Generation. CoRR Jiwei Li, Will Monroe, Dan Jurafsky
2016	A	`conf`	Between- and Within-Speaker Effects of Bilingualism on F0 Variation. INTERSPEECH Rob Voigt, Dan Jurafsky, Meghan Sumner
2016	J	`jnl`	Citation Classification for Behavioral Analysis of a Scientific Field. CoRR David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky
2016	A*	`conf`	Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. EMNLP William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. CoRR William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	A*	`conf`	Deep Reinforcement Learning for Dialogue Generation. EMNLP Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao
2016	J	`jnl`	Deep Reinforcement Learning for Dialogue Generation. CoRR Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky
2016	—	`conf`	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. CoRR William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	A*	`conf`	Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. EMNLP Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff
2016	A*	`conf`	Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016	A	`conf`	Ketchup, Interdisciplinarity, and the Spread of Innovation in Speech and Language Processing. INTERSPEECH Dan Jurafsky
2016	J	`jnl`	Mutual Information and Diverse Decoding Improve Neural Machine Translation. CoRR Jiwei Li, Dan Jurafsky
2016	J	`jnl`	Neural Language Correction with Character-Based Attention. CoRR Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng
2016	J	`jnl`	Neural Net Models for Open-Domain Discourse Coherence. CoRR Jiwei Li, Dan Jurafsky
2016	—	`conf`	Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky
2016	—	`conf`	The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. DH Grace Muzny, Mark Algee-Hewitt, Dan Jurafsky
2016	J	`jnl`	Understanding Neural Networks through Representation Erasure. CoRR Jiwei Li, Will Monroe, Dan Jurafsky
2016	—	`conf`	Visualizing and Understanding Neural Models in NLP. HLT-NAACL Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky
2015	—	`conf`	A Hierarchical Neural Autoencoder for Paragraphs and Documents. ACL (1) Jiwei Li, Minh-Thang Luong, Dan Jurafsky
2015	J	`jnl`	A Hierarchical Neural Autoencoder for Paragraphs and Documents. CoRR Jiwei Li, Minh-Thang Luong, Dan Jurafsky
2015	A*	`conf`	Do Multi-Sense Embeddings Improve Natural Language Understanding? EMNLP Jiwei Li, Dan Jurafsky
2015	J	`jnl`	Do Multi-Sense Embeddings Improve Natural Language Understanding? CoRR Jiwei Li, Dan Jurafsky
2015	J	`jnl`	Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks. CoRR Jiwei Li, Alan Ritter, Dan Jurafsky
2015	—	`conf`	Lexicon-Free Conversational Speech Recognition with Neural Networks. HLT-NAACL Andrew L. Maas, Ziang Xie, Dan Jurafsky, Andrew Y. Ng
2015	—	`conf`	The Users Who Say 'Ni': Audience Identification in Chinese-language Restaurant Reviews. ACL (2) Rob Voigt, Dan Jurafsky
2015	—	`conf`	The connection between smiling and GOAT fronting: Embodied affect in sociophonetic variation. ICPhS Robert Podesva, Patrick Callier, Rob Voigt, Dan Jurafsky
2015	J	`jnl`	Visualizing and Understanding Neural Models in NLP. CoRR Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky
2015	A*	`conf`	When Are Tree Structures Necessary for Deep Learning of Representations? EMNLP Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy
2015	J	`jnl`	When Are Tree Structures Necessary for Deep Learning of Representations? CoRR Jiwei Li, Dan Jurafsky, Eduard H. Hovy
2014	J	`jnl`	Charles J. Fillmore. Comput. Linguistics Dan Jurafsky
2014	A*	`conf`	Easy does it: more usable CAPTCHAs. CHI Elie Bursztein, Angelique Moscicki, Celine Fabry, Steven Bethard, John C. Mitchell, Dan Jurafsky
2014	A	`conf`	How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. ICWSM Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
2014	J	`jnl`	How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. CoRR Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
2014	J	`jnl`	Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks. CoRR Jiwei Li, Alan Ritter, Dan Jurafsky
2014	B	`conf`	Learning to Reason Pragmatically with Cognitive Limitations. CogSci Adam Vogel, Andrés Goméz Emilsson, Michael C. Frank, Dan Jurafsky, Christopher Potts
2014	J	`jnl`	Narrative framing of consumer sentiment in online restaurant reviews. First Monday Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge, Noah A. Smith
2014	B	`conf`	On the Importance of Text Analysis for Stock Price Prediction. LREC Heeyoung Lee, Mihai Surdeanu, Bill MacCartney, Dan Jurafsky
2014	—	`conf`	Speaker-independent detection of child-directed speech. SLT Sebastian Schuster, Stephanie Pancoast, Milind Ganjoo, Michael C. Frank, Dan Jurafsky
2013	J	`jnl`	A Computational Approach to Politeness with Application to Social Factors. CoRR Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts
2013	—	`conf`	A computational approach to politeness with application to social factors. ACL (1) Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts
2013	J	`jnl`	Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Comput. Speech Lang. Rajesh Ranganath, Dan Jurafsky, Daniel A. McFarland
2013	J	`jnl`	Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. Comput. Linguistics Heeyoung Lee, Angel X. Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky
2013	—	`conf`	Generating Recommendation Dialogs by Extracting Information from User Reviews. ACL (2) Kevin Reschke, Adam Vogel, Dan Jurafsky
2013	—	`conf`	Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. ACL (2) Adam Vogel, Christopher Potts, Dan Jurafsky
2013	—	`conf`	Linguistic Models for Analyzing and Detecting Biased Language. ACL (1) Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
2013	A*	`conf`	No country for old members: user lifecycle and linguistic change in online communities. WWW Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, Christopher Potts
2013	—	`conf`	Positive Diversity Tuning for Machine Translation System Combination. WMT@ACL Daniel M. Cer, Christopher D. Manning, Dan Jurafsky
2013	—	`conf`	Tradition and Modernity in 20th Century Chinese Poetry. CLfL@NAACL-HLT Rob Voigt, Dan Jurafsky
2012	—	`conf`	A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry. CLfL@NAACL-HLT Justine Kao, Dan Jurafsky
2012	J	`jnl`	Citation-based bootstrapping for large-scale author disambiguation. J. Assoc. Inf. Sci. Technol. Michael Levin, Stefan Krawczyk, Steven Bethard, Dan Jurafsky
2012	—	`conf`	He Said, She Said: Gender in the ACL Anthology. Discoveries@ACL Adam Vogel, Dan Jurafsky
2012	—	`conf`	Joint Entity and Event Coreference Resolution across Documents. EMNLP-CoNLL Heeyoung Lee, Marta Recasens, Angel X. Chang, Mihai Surdeanu, Dan Jurafsky
2012	J	`jnl`	Learning Attitudes and Attributes from Multi-Aspect Reviews CoRR Julian J. McAuley, Jure Leskovec, Dan Jurafsky
2012	A*	`conf`	Learning Attitudes and Attributes from Multi-aspect Reviews. ICDM Julian J. McAuley, Jure Leskovec, Dan Jurafsky
2012	A*	`conf`	Learning the Central Events and Participants in Unlabeled Text. ICML Nathanael Chambers, Dan Jurafsky
2012	—	`conf`	Towards a Computational History of the ACL: 1980-2008. Discoveries@ACL Ashton Anderson, Dan Jurafsky, Daniel A. McFarland
2012	—	`conf`	Towards a Literary Machine Translation: The Role of Referential Cohesion. CLfL@NAACL-HLT Rob Voigt, Dan Jurafsky
2011	A*	`conf`	Sex, food, and words: the hidden meanings behind everyday language. UIST Dan Jurafsky
2011	—	`conf`	Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. CoNLL Shared Task Heeyoung Lee, Yves Peirsman, Angel X. Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky
2011	A*	`conf`	Template-Based Information Extraction without the Templates. ACL Nathanael Chambers, Dan Jurafsky
2011	—	`conf`	Using Query Patterns to Learn the Duration of Events. IWCS Andrey Gusev, Nathanael Chambers, Divye Raj Khilnani, Pranav Khaitan, Steven Bethard, Dan Jurafsky
2010	A*	`conf`	A Multi-Pass Sieve for Coreference Resolution. EMNLP Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nate Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher D. Manning
2010	—	`ed.`	COLING 2010, 23rd International Conference on Computational Linguistics, Posters Volume, 23-27 August 2010, Beijing, China COLING (Posters) Chu-Ren Huang, Dan Jurafsky
2010	B	`ed.`	COLING 2010, 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 23-27 August 2010, Beijing, China COLING Chu-Ren Huang, Dan Jurafsky
2010	—	`conf`	Eye Spy: Improving Vision through Dialog. AAAI Fall Symposium: Dialog with Robots Adam Vogel, Karthik Raghunathan, Dan Jurafsky
2010	J	`jnl`	The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue. Lang. Resour. Evaluation Sasha Calhoun, Jean Carletta, Jason M. Brenier, Neil Mayo, Dan Jurafsky, Mark Steedman, David Beaver
2010	A	`conf`	Who should I cite: learning literature search models from citation behavior. CIKM Steven Bethard, Dan Jurafsky
2009	—	`conf`	Discriminative Reordering with Chinese Grammatical Relations Features. SSST@HLT-NAACL Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, Christopher D. Manning
2009	J	`jnl`	Measuring machine translation quality as semantic equivalence: A metric based on entailment features. Mach. Transl. Sebastian Padó, Daniel M. Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning
2009	—	`book`	Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition. Dan Jurafsky, James H. Martin
2009	J	`jnl`	The effect of lexical frequency and Lombard reflex on tone hyperarticulation. J. Phonetics Yuan Zhao, Dan Jurafsky
2009	—	`conf`	Unsupervised Learning of Narrative Schemas and their Participants. ACL/IJCNLP Nathanael Chambers, Dan Jurafsky
2008	—	`conf`	Regularization and Search for Minimum Error Rate Training. WMT@ACL Daniel M. Cer, Dan Jurafsky, Christopher D. Manning
2007	C	`conf`	Automatic detection of contrastive elements in spontaneous speech. ASRU Ani Nenkova, Dan Jurafsky
2007	A	`conf`	Modelling prominence and emphasis improves unit-selection synthesis. INTERSPEECH Volker Strom, Ani Nenkova, Robert A. J. Clark, Yolanda Vazquez-Alvarez, Jason M. Brenier, Simon King, Dan Jurafsky
2007	C	`conf`	Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification. ASRU Yun-Hsuan Sung, Constantinos Boulis, Christopher D. Manning, Dan Jurafsky
2007	B	`conf`	Resolving "You" in Multi-Party Dialog. SIGdial Surabhi Gupta, John Niekrasz, Matthew Purver, Dan Jurafsky
2006	A*	`ed.`	EMNLP 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia EMNLP Dan Jurafsky, Éric Gaussier
2006	—	`ch.`	Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues. Computing Attitude and Affect in Text Steven Bethard, Hong Yu, Ashley Thornton, Vasileios Hatzivassiloglou, Dan Jurafsky
2006	—	`conf`	The (Non)Utility of Linguistic Features for Predicting prominence in spontaneous speech. SLT Jason M. Brenier, Ani Nenkova, Anubha Kothari, Laura Whitton, David Beaver, Dan Jurafsky
2005	—	`conf`	A preliminary study of Mandarin filled pauses. DiSS Yuan Zhao, Dan Jurafsky
2003	—	`conf`	The Effect of Rhythm on Structural Disambiguation in Chinese. SIGHAN Honglin Sun, Dan Jurafsky
2001	Misc	`conf`	What kind of pronunciation variation is hard for triphones to model? ICASSP Dan Jurafsky, Wayne H. Ward, Zhang Banping, Keith Herold, Xiuyang Yu, Zhang Sen