Dan Klein

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 166

Top Venues

Publications

Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. CoRR (2024)
Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
Pose Priors from Language Models. CoRR (2024)
Alexander Wan, Eric Wallace, Dan Klein
What Evidence Do Language Models Find Convincing? ACL (1) (2024)
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. NAACL-HLT (2024)
Yizhou Chi, Kevin Yang, Dan Klein
THOUGHTSCULPT: Reasoning with Intermediate Revision and Search. CoRR (2024)
Alexander Wan, Eric Wallace, Dan Klein
What Evidence Do Language Models Find Convincing? CoRR (2024)
Daniel Nahmias, Gal Engelberg, Dan Klein, Asaf Shabtai
Prompted Contextual Vectors for Spear-Phishing Detection. CoRR (2024)
Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. ICLR (2024)
Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR (2024)
Austen Liao, Nicholas Tomlin, Dan Klein
Efficacy of Language Model Self-Play in Non-Zero-Sum Games. CoRR (2024)
Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT (2024)
Kayo Yin, Terry Regier, Dan Klein
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. CoRR (2024)
Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT (2024)
Yizhou Chi, Jessy Lin, Kevin Lin, Dan Klein
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval. CoRR (2024)
Jonathan Pei, Kevin Yang, Dan Klein
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. CoRR (2023)
Vivek Verma, Nicholas Tomlin, Dan Klein
Revisiting Entropy Rate Constancy in Text. CoRR (2023)
Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
Poisoning Language Models During Instruction Tuning. ICML (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) (2023)
Olivia Huang, Eve Fleisig, Dan Klein
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. EMNLP (2023)
Vyoma Raman, Eve Fleisig, Dan Klein
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. CoRR (2023)
Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein
Improving Pacing in Long-Form Story Planning. EMNLP (Findings) (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? ICCV (2023)
Mattia Fumagalli, Gal Engelberg, Tiago Prince Sales, Ítalo Oliveira, Dan Klein, Pnina Soffer, Riccardo Baratella, Giancarlo Guizzardi
On the Semantics of Risk Propagation. RCIS (2023)
Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
Learning to Model the World with Language. CoRR (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. ACL (2) (2023)
Jonathan Pei, Kevin Yang, Dan Klein
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. ACL (Findings) (2023)
Italo Jose da Silva Oliveira, Gal Engelberg, Pedro Paulo F. Barcelos, Tiago Prince Sales, Mattia Fumagalli, Riccardo Baratella, Dan Klein, Giancarlo Guizzardi
Boosting D3FEND: Ontological Analysis and Recommendations. FOIS (2023)
Olivia Huang, Eve Fleisig, Dan Klein
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. CoRR (2023)
Vyoma Raman, Eve Fleisig, Dan Klein
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. EMNLP (2023)
Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi
Inferring Ontological Categories of OWL Classes Using Foundational Rules. FOIS (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? CoRR (2023)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. ACL (Findings) (2023)
Eve Fleisig, Rediet Abebe, Dan Klein
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. EMNLP (2023)
Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
Poisoning Language Models During Instruction Tuning. CoRR (2023)
Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR (2023)
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
Goal Driven Discovery of Distributional Differences via Language Descriptions. NeurIPS (2023)
Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian
DOC: Improving Long Story Coherence With Detailed Outline Control. ACL (1) (2023)
Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment. CoRR (2023)
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
Goal Driven Discovery of Distributional Differences via Language Descriptions. CoRR (2023)
Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) (2023)
Andre He, Nicholas Tomlin, Dan Klein
Neural Unsupervised Reconstruction of Protolanguage Word Forms. ACL (1) (2023)
Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi
An Ontology-Driven Approach for Process-Aware Risk Propagation. SAC (2023)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. EMNLP (2023)
Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein
Improving Pacing in Long-Form Story Planning. CoRR (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. CoRR (2023)
Vivek Verma, Nicholas Tomlin, Dan Klein
Revisiting Entropy Rate Constancy in Text. EMNLP (Findings) (2023)
Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
Comparative Multi-View Language Grounding. CoRR (2023)
Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
Discovering Latent Knowledge in Language Models Without Supervision. ICLR (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR (2023)
Eve Fleisig, Rediet Abebe, Dan Klein
When the Majority is Wrong: Leveraging Annotator Disagreement for Subjective Tasks. CoRR (2023)
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. CoRR (2023)
Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein
Re3: Generating Longer Stories With Recursive Reprompting and Revision. EMNLP (2022)
Charlie Snell, Dan Klein, Ruiqi Zhong
Learning by Distilling Context. CoRR (2022)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
Describing Differences between Text Distributions with Natural Language. ICML (2022)
Nicholas Tomlin, Andre He, Dan Klein
Understanding Game-Playing Agents with Natural Language Annotations. CoRR (2022)
Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
Voxel-informed Language Grounding. ACL (2) (2022)
Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian
DOC: Improving Long Story Coherence With Detailed Outline Control. CoRR (2022)
Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi
Towards an Ontology-Driven Approach for Process-Aware Risk Propagation. CoRR (2022)
Nicholas Tomlin, Andre He, Dan Klein
Understanding Game-Playing Agents with Natural Language Annotations. ACL (2) (2022)
Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
Voxel-informed Language Grounding. CoRR (2022)
Nikita Kitaev, Thomas Lu, Dan Klein
Learned Incremental Representations for Parsing. ACL (1) (2022)
Andre He, Nicholas Tomlin, Dan Klein
Neural Unsupervised Reconstruction of Protolanguage Word Forms. CoRR (2022)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. CoRR (2022)
Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
Inferring Rewards from Language in Context. CoRR (2022)
Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, Dan Klein
Automated Crossword Solving. CoRR (2022)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
Summarizing Differences between Text Distributions with Natural Language. CoRR (2022)
Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
Discovering Latent Knowledge in Language Models Without Supervision. CoRR (2022)
Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
Does unsupervised grammar induction need pixels? CoRR (2022)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
Active Programming by Example with a Natural Language Prior. CoRR (2022)
Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, Dan Klein
Automated Crossword Solving. ACL (1) (2022)
Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein
Re3: Generating Longer Stories With Recursive Reprompting and Revision. CoRR (2022)
Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
Inferring Rewards from Language in Context. ACL (1) (2022)
David Gaddy, Dan Klein
An Improved Model for Voicing Silent Speech. CoRR (2021)
Daniel Fried, Justin T. Chiu, Dan Klein
Reference-Centric Models for Grounded Collaborative Dialogue. EMNLP (1) (2021)
Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein
Meta-tuning Language Models to Answer Prompts Better. CoRR (2021)
Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein
Detoxifying Language Models Risks Marginalizing Minority Voices. CoRR (2021)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR (2021)
Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. ACL/IJCNLP (Findings) (2021)
Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein
Value-Agnostic Conversational Semantic Parsing. ACL/IJCNLP (1) (2021)
Kevin Yang, Dan Klein
FUDGE: Controlled Text Generation With Future Discriminators. NAACL-HLT (2021)
Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. CoRR (2021)
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. CoRR (2021)
David Gaddy, Dan Klein
An Improved Model for Voicing Silent Speech. ACL/IJCNLP (2) (2021)
Catherine Chen, Kevin Lin, Dan Klein
Constructing Taxonomies from Pretrained Language Models. NAACL-HLT (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. NeurIPS (2021)
Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. EMNLP (Findings) (2021)
Charlie Snell, Ruiqi Zhong, Dan Klein, Jacob Steinhardt
Approximating How Single Head Attention Learns. CoRR (2021)
Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR (2021)
Daniel Fried, Justin T. Chiu, Dan Klein
Reference-Centric Models for Grounded Collaborative Dialogue. CoRR (2021)
Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein
Detoxifying Language Models Risks Marginalizing Minority Voices. NAACL-HLT (2021)
Kevin Yang, Dan Klein
FUDGE: Controlled Text Generation With Future Discriminators. CoRR (2021)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) (2021)
Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell
Modular Networks for Compositional Instruction Following. NAACL-HLT (2021)
Steven Cao, Nikita Kitaev, Dan Klein
Multilingual Alignment of Contextual Word Representations. ICLR (2020)
Kevin Yang, Violet Yao, John DeNero, Dan Klein
A Streaming Approach For Efficient Batched Beam Search. CoRR (2020)
Ruiqi Zhong, Tao Yu, Dan Klein
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. EMNLP (1) (2020)
Steven Cao, Nikita Kitaev, Dan Klein
Unsupervised Parsing via Constituency Tests. CoRR (2020)
Catherine Chen, Kevin Lin, Dan Klein
Inducing Taxonomic Knowledge from Pretrained Transformers. CoRR (2020)
Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell
Modularity Improves Out-of-Domain Instruction Following. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dan Klein