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ORCIDDaniel Klein 0001
Dan Klein 0001
Person information
- affiliation: Microsoft Semantic Machines, USA
- affiliation: University of California, Berkeley, UC Berkeley, Computer Science Division, CA, USA
- affiliation (PhD 2004): Stanford University, Computer Science Department, CA, USA
Other persons with the same name
- Daniel Klein (aka: Dan Klein) — disambiguation page
- Daniel Klein 0002
![[0000-0003-4920-6782]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4920-6782")
— Pavla Jozefa Safárik University in Kosice, Institute of Mathematics, Faculty of Science, Slovakia - Daniel Klein 0003 (aka: Dan Klein 0003) — Accenture Labs, Accenture Israel Cyber R&D Lab, Tel Aviv, Herzliya, Israel
- Daniel Klein 0004 — Bonn-Rhein-Sieg University of Applied Sciences, Institute of Safety and Security Research, Germany
- Daniel Klein 0005 — LoneWolf Systems, Pittsburgh, PA, USA
- Daniel Klein 0006 — Universität der Bundeswehr München, Institut für Angewandte Informatik, Munich, Germany
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Books and Theses
- 2005
[b1]Dan Klein:
The unsupervised learning of natural language structure. Stanford University, USA, 2005
Journal Articles
- 2020
- [j8]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8: 556-571 (2020) - 2017
- [j7]Jonathan K. Kummerfeld, Dan Klein:
Parsing with Traces: An O(n^4) Algorithm and a Structural Representation. Trans. Assoc. Comput. Linguistics 5: 441-454 (2017) - 2014
- [j6]Anna N. Rafferty, Thomas L. Griffiths, Dan Klein:
Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor. Cogn. Sci. 38(7): 1406-1431 (2014) - [j5]Greg Durrett, Dan Klein:
A Joint Model for Entity Analysis: Coreference, Typing, and Linking. Trans. Assoc. Comput. Linguistics 2: 477-490 (2014) - 2013
- [j4]Percy Liang, Michael I. Jordan, Dan Klein:
Learning Dependency-Based Compositional Semantics. Comput. Linguistics 39(2): 389-446 (2013) - [j3]Alexandre Bouchard-Côté, David Hall, Thomas L. Griffiths, Dan Klein:
Automated reconstruction of ancient languages using probabilistic models of sound change. Proc. Natl. Acad. Sci. USA 110(11): 4224-4229 (2013) - 2005
- [j2]Dan Klein, Christopher D. Manning:
Natural language grammar induction with a generative constituent-context model. Pattern Recognit. 38(9): 1407-1419 (2005) - 2004
- [j1]Dan Klein:
Data-Oriented Parsing edited by Rens Bod, Remko Scha, and Khalil Sima'an. Comput. Linguistics 30(2): 240-244 (2004)
Conference and Workshop Papers
- 2025
- [c216]Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan:
Enough Coin Flips Can Make LLMs Act Bayesian. ACL (1) 2025: 7634-7655 - [c215]Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell:
Pose Priors from Language Models. CVPR 2025: 7125-7135 - [c214]Yizhou Chi, Kevin Yang, Dan Klein:
ThoughtSculpt: Reasoning with Intermediate Revision and Search. NAACL (Findings) 2025: 7685-7711 - 2024
- [c213]Alexander Wan, Eric Wallace, Dan Klein:
What Evidence Do Language Models Find Convincing? ACL (1) 2024: 7468-7484 - [c212]Kayo Yin, Terry Regier, Dan Klein:
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. ACL (1) 2024: 15715-15724 - [c211]Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein:
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. EMNLP 2024: 13541-13564 - [c210]Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian:
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. ICLR 2024 - [c209]Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan:
Learning to Model the World With Language. ICML 2024 - [c208]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. NAACL-HLT (Findings) 2024: 1113-1123 - [c207]Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein:
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. NAACL-HLT 2024: 1702-1717 - [c206]Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat:
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT 2024: 2279-2292 - [c205]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: 3177-3189 - [c204]Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt:
Explaining Datasets in Words: Statistical Models with Natural Language Parameters. NeurIPS 2024 - 2023
- [c203]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: 747-761 - [c202]Andre He, Nicholas Tomlin, Dan Klein:
Neural Unsupervised Reconstruction of Protolanguage Word Forms. ACL (1) 2023: 1636-1649 - [c201]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. ACL (1) 2023: 3378-3465 - [c200]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: 5682-5700 - [c199]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. ACL (Findings) 2023: 10018-10037 - [c198]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: 13345-13360 - [c197]Olivia Huang, Eve Fleisig, Dan Klein:
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. EMNLP 2023: 1010-1028 - [c196]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: 5126-5152 - [c195]Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) 2023: 5521-5533 - [c194]Eve Fleisig, Rediet Abebe, Dan Klein:
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. EMNLP 2023: 6715-6726 - [c193]Vyoma Raman, Eve Fleisig, Dan Klein:
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. EMNLP 2023: 9316-9329 - [c192]Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein:
Improving Pacing in Long-Form Story Planning. EMNLP (Findings) 2023: 10788-10845 - [c191]Vivek Verma, Nicholas Tomlin, Dan Klein:
Revisiting Entropy Rate Constancy in Text. EMNLP (Findings) 2023: 15537-15549 - [c190]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? ICCV 2023: 10049-10059 - [c189]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. ICLR 2023 - [c188]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. ICML 2023: 35413-35425 - [c187]Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt:
Goal Driven Discovery of Distributional Differences via Language Descriptions. NeurIPS 2023 - 2022
- [c186]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. ACL (2) 2022: 54-60 - [c185]Nicholas Tomlin, Andre He, Dan Klein:
Understanding Game-Playing Agents with Natural Language Annotations. ACL (2) 2022: 797-807 - [c184]Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein:
Automated Crossword Solving. ACL (1) 2022: 3073-3085 - [c183]Nikita Kitaev, Thomas Lu, Dan Klein:
Learned Incremental Representations for Parsing. ACL (1) 2022: 3086-3095 - [c182]Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan:
Inferring Rewards from Language in Context. ACL (1) 2022: 8546-8560 - [c181]Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein:
Re3: Generating Longer Stories With Recursive Reprompting and Revision. EMNLP 2022: 4393-4479 - [c180]Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt:
Describing Differences between Text Distributions with Natural Language. ICML 2022: 27099-27116 - 2021
- [c179]David Gaddy, Dan Klein:
An Improved Model for Voicing Silent Speech. ACL/IJCNLP (2) 2021: 175-181 - [c178]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: 3666-3681 - [c177]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: 3813-3827 - [c176]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. EMNLP (1) 2021: 2130-2147 - [c175]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: 2856-2878 - [c174]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: 7699-7715 - [c173]Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML 2021: 12697-12706 - [c172]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. NAACL-HLT 2021: 1033-1040 - [c171]Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein:
Detoxifying Language Models Risks Marginalizing Minority Voices. NAACL-HLT 2021: 2390-2397 - [c170]Kevin Yang, Dan Klein:
FUDGE: Controlled Text Generation With Future Discriminators. NAACL-HLT 2021: 3511-3535 - [c169]Catherine Chen, Kevin Lin, Dan Klein:
Constructing Taxonomies from Pretrained Language Models. NAACL-HLT 2021: 4687-4700 - [c168]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: 378-391 - 2020
- [c167]Ruiqi Zhong, Mitchell Stern, Dan Klein:
Semantic Scaffolds for Pseudocode-to-Code Generation. ACL 2020: 2283-2295 - [c166]Nikita Kitaev, Dan Klein:
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. ACL 2020: 6255-6261 - [c165]Ruiqi Zhong, Tao Yu, Dan Klein:
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. EMNLP (1) 2020: 396-411 - [c164]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. EMNLP (1) 2020: 4526-4535 - [c163]Steven Cao, Nikita Kitaev, Dan Klein:
Unsupervised Parsing via Constituency Tests. EMNLP (1) 2020: 4798-4808 - [c162]David Gaddy, Dan Klein:
Digital Voicing of Silent Speech. EMNLP (1) 2020: 5521-5530 - [c161]Steven Cao, Nikita Kitaev, Dan Klein:
Multilingual Alignment of Contextual Word Representations. ICLR 2020 - [c160]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968 - 2019
- [c159]Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. ACL (1) 2019: 323-330 - [c158]David Gaddy, Dan Klein:
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. ACL (1) 2019: 1946-1956 - [c157]Nikita Kitaev, Steven Cao, Dan Klein:
Multilingual Constituency Parsing with Self-Attention and Pre-Training. ACL (1) 2019: 3499-3505 - [c156]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) 2019: 6551-6557 - [c155]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) 2019: 2195-2205 - [c154]Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein:
Pragmatically Informative Text Generation. NAACL-HLT (1) 2019: 4060-4067 - 2018
- [c153]Daniel Fried, Dan Klein:
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. ACL (2) 2018: 469-476 - [c152]Nikita Kitaev, Dan Klein:
Constituency Parsing with a Self-Attentive Encoder. ACL (1) 2018: 2676-2686 - [c151]David Gaddy, Mitchell Stern, Dan Klein:
What's Going On in Neural Constituency Parsers? An Analysis. NAACL-HLT 2018: 999-1010 - [c150]Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. NAACL-HLT 2018: 1951-1963 - [c149]Jacob Andreas, Dan Klein, Sergey Levine:
Learning with Latent Language. NAACL-HLT 2018: 2166-2179 - [c148]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - 2017
- [c147]Daniel Fried, Mitchell Stern, Dan Klein:
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. ACL (2) 2017: 161-166 - [c146]Jacob Andreas, Anca D. Dragan, Dan Klein:
Translating Neuralese. ACL (1) 2017: 232-242 - [c145]Maxim Rabinovich, Dan Klein:
Fine-Grained Entity Typing with High-Multiplicity Assignments. ACL (2) 2017: 330-334 - [c144]Mitchell Stern, Jacob Andreas, Dan Klein:
A Minimal Span-Based Neural Constituency Parser. ACL (1) 2017: 818-827 - [c143]Maxim Rabinovich, Mitchell Stern, Dan Klein:
Abstract Syntax Networks for Code Generation and Semantic Parsing. ACL (1) 2017: 1139-1149 - [c142]Nikita Kitaev, Dan Klein:
Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space. EMNLP 2017: 157-166 - [c141]Mitchell Stern, Daniel Fried, Dan Klein:
Effective Inference for Generative Neural Parsing. EMNLP 2017: 1695-1700 - [c140]Jacob Andreas, Dan Klein:
Analogs of Linguistic Structure in Deep Representations. EMNLP 2017: 2893-2897 - [c139]Jacob Andreas, Dan Klein, Sergey Levine:
Modular Multitask Reinforcement Learning with Policy Sketches. ICML 2017: 166-175 - 2016
- [c138]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) 2016 - [c137]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Neural Module Networks. CVPR 2016: 39-48 - [c136]Jacob Andreas, Dan Klein:
Reasoning about Pragmatics with Neural Listeners and Speakers. EMNLP 2016: 1173-1182 - [c135]Matthew Francis-Landau, Greg Durrett, Dan Klein:
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. HLT-NAACL 2016: 1256-1261 - [c134]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Learning to Compose Neural Networks for Question Answering. HLT-NAACL 2016: 1545-1554 - 2015
- [c133]Greg Durrett, Dan Klein:
Neural CRF Parsing. ACL (1) 2015: 302-312 - [c132]Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein:
An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP 2015: 273-279 - [c131]Jacob Andreas, Dan Klein:
Alignment-Based Compositional Semantics for Instruction Following. EMNLP 2015: 1165-1174 - [c130]Jacob Andreas, Dan Klein:
When and why are log-linear models self-normalizing? HLT-NAACL 2015: 244-249 - [c129]James Ferguson, Greg Durrett, Dan Klein:
Disfluency Detection with a Semi-Markov Model and Prosodic Features. HLT-NAACL 2015: 257-262 - [c128]Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein:
Unsupervised Code-Switching for Multilingual Historical Document Transcription. HLT-NAACL 2015: 1036-1041 - [c127]Taylor Berg-Kirkpatrick, Dan Klein:
GPU-Friendly Local Regression for Voice Conversion. HLT-NAACL 2015: 1334-1338 - [c126]Jacob Andreas, Maxim Rabinovich, Michael I. Jordan, Dan Klein:
On the Accuracy of Self-Normalized Log-Linear Models. NIPS 2015: 1783-1791 - 2014
- [c125]Taylor Berg-Kirkpatrick, Dan Klein:
Improved Typesetting Models for Historical OCR. ACL (2) 2014: 118-123 - [c124]David Hall, Taylor Berg-Kirkpatrick, Dan Klein:
Sparser, Better, Faster GPU Parsing. ACL (1) 2014: 208-217 - [c123]David Hall, Greg Durrett, Dan Klein:
Less Grammar, More Features. ACL (1) 2014: 228-237 - [c122]Jacob Andreas, Dan Klein:
How much do word embeddings encode about syntax? ACL (2) 2014: 822-827 - [c121]Mohit Bansal, David Burkett, Gerard de Melo, Dan Klein:
Structured Learning for Taxonomy Induction with Belief Propagation. ACL (1) 2014: 1041-1051 - [c120]Jacob Andreas, Dan Klein:
Grounding Language with Points and Paths in Continuous Spaces. CoNLL 2014: 58-67 - [c119]Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein:
Unsupervised Transcription of Piano Music. NIPS 2014: 1538-1546 - 2013
- [c118]David Burkett, Dan Klein:
Variational Inference for Structured NLP Models. ACL (Tutorial Abstracts) 2013: 9-10 - [c117]Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein:
An Empirical Examination of Challenges in Chinese Parsing. ACL (2) 2013: 98-103 - [c116]Greg Durrett, David Hall, Dan Klein:
Decentralized Entity-Level Modeling for Coreference Resolution. ACL (1) 2013: 114-124 - [c115]Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein:
Unsupervised Transcription of Historical Documents. ACL (1) 2013: 207-217 - [c114]David Leo Wright Hall, Alon Cohen, David Burkett, Dan Klein:
Faster Optimal Planning with Partial-Order Pruning. ICAPS 2013 - [c113]Jonathan K. Kummerfeld, Dan Klein:
Error-Driven Analysis of Challenges in Coreference Resolution. EMNLP 2013: 265-277 - [c112]Taylor Berg-Kirkpatrick, Dan Klein:
Decipherment with a Million Random Restarts. EMNLP 2013: 874-878 - [c111]John F. Canny, David Hall, Dan Klein:
A Multi-Teraflop Constituency Parser using GPUs. EMNLP 2013: 1898-1907 - [c110]Greg Durrett, Dan Klein:
Easy Victories and Uphill Battles in Coreference Resolution. EMNLP 2013: 1971-1982 - [c109]Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell:
Grounding spatial relations for human-robot interaction. IROS 2013: 1640-1647 - 2012
- [c108]Jonathan K. Kummerfeld, Dan Klein, James R. Curran:
Robust Conversion of CCG Derivations to Phrase Structure Trees. ACL (2) 2012: 105-109 - [c107]Mohit Bansal, Dan Klein:
Coreference Semantics from Web Features. ACL (1) 2012: 389-398 - [c106]Adam Pauls, Dan Klein:
Large-Scale Syntactic Language Modeling with Treelets. ACL (1) 2012: 959-968 - [c105]Greg Durrett, Adam Pauls, Dan Klein:
Syntactic Transfer Using a Bilingual Lexicon. EMNLP-CoNLL 2012: 1-11 - [c104]David Burkett, Dan Klein:
Transforming Trees to Improve Syntactic Convergence. EMNLP-CoNLL 2012: 863-872 - [c103]Taylor Berg-Kirkpatrick, David Burkett, Dan Klein:
An Empirical Investigation of Statistical Significance in NLP. EMNLP-CoNLL 2012: 995-1005 - [c102]Jonathan K. Kummerfeld, David Hall, James R. Curran, Dan Klein:
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output. EMNLP-CoNLL 2012: 1048-1059 - [c101]David Hall, Dan Klein:
Training Factored PCFGs with Expectation Propagation. EMNLP-CoNLL 2012: 1146-1156 - [c100]David Burkett, Dan Klein:
Fast Inference in Phrase Extraction Models with Belief Propagation. HLT-NAACL 2012: 29-38 - [c99]David Burkett, Dan Klein:
Variational Inference for Structured NLP Models. HLT-NAACL 2012 - 2011
- [c98]David Burkett, David Hall, Dan Klein:
Optimal Graph Search with Iterated Graph Cuts. AAAI 2011: 12-17 - [c97]Greg Durrett, Dan Klein:
An Empirical Investigation of Discounting in Cross-Domain Language Models. ACL (2) 2011: 24-29 - [c96]Adam Pauls, Dan Klein:
Faster and Smaller N-Gram Language Models. ACL 2011: 258-267 - [c95]Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein:
Jointly Learning to Extract and Compress. ACL 2011: 481-490 - [c94]Percy Liang, Michael I. Jordan, Dan Klein:
Learning Dependency-Based Compositional Semantics. ACL 2011: 590-599 - [c93]Mohit Bansal, Dan Klein:
Web-Scale Features for Full-Scale Parsing. ACL 2011: 693-702 - [c92]Mohit Bansal, Dan Klein:
The Surprising Variance in Shortest-Derivation Parsing. ACL (2) 2011: 720-725 - [c91]Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein:
Mention Detection: Heuristics for the OntoNotes annotations. CoNLL Shared Task 2011: 102-106 - [c90]Taylor Berg-Kirkpatrick, Dan Klein:
Simple Effective Decipherment via Combinatorial Optimization. EMNLP 2011: 313-321 - [c89]David Hall, Dan Klein:
Large-Scale Cognate Recovery. EMNLP 2011: 344-354 - 2010
- [c88]Adam Pauls, Dan Klein, Chris Quirk:
Top-Down K-Best A* Parsing. ACL (2) 2010: 200-204 - [c87]Aria Haghighi, Dan Klein:
An Entity-Level Approach to Information Extraction. ACL (2) 2010: 291-295 - [c86]Adam Pauls, Dan Klein:
Hierarchical A* Parsing with Bridge Outside Scores. ACL (2) 2010: 348-352 - [c85]David Hall, Dan Klein:
Finding Cognate Groups Using Phylogenies. ACL 2010: 1030-1039 - [c84]Mohit Bansal, Dan Klein:
Simple, Accurate Parsing with an All-Fragments Grammar. ACL 2010: 1098-1107 - [c83]Taylor Berg-Kirkpatrick, Dan Klein:
Phylogenetic Grammar Induction. ACL 2010: 1288-1297 - [c82]John DeNero, Dan Klein:
Discriminative Modeling of Extraction Sets for Machine Translation. ACL 2010: 1453-1463 - [c81]David Burkett, Slav Petrov, John Blitzer, Dan Klein:
Learning Better Monolingual Models with Unannotated Bilingual Text. CoNLL 2010: 46-54 - [c80]John DeNero, Dan Klein:
Teaching Introductory Artificial Intelligence with Pac-Man. EAAI 2010: 1885-1889 - [c79]Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks:
Model AI Assignments. EAAI 2010: 1919-1921 - [c78]Dave Golland, Percy Liang, Dan Klein:
A Game-Theoretic Approach to Generating Spatial Descriptions. EMNLP 2010: 410-419 - [c77]Gabor Angeli, Percy Liang, Dan Klein:
A Simple Domain-Independent Probabilistic Approach to Generation. EMNLP 2010: 502-512 - [c76]Percy Liang, Michael I. Jordan, Dan Klein:
Learning Programs: A Hierarchical Bayesian Approach. ICML 2010: 639-646 - [c75]Adam Pauls, Dan Klein, David Chiang, Kevin Knight:
Unsupervised Syntactic Alignment with Inversion Transduction Grammars. HLT-NAACL 2010: 118-126 - [c74]David Burkett, John Blitzer, Dan Klein:
Joint Parsing and Alignment with Weakly Synchronized Grammars. HLT-NAACL 2010: 127-135 - [c73]Aria Haghighi, Dan Klein:
Coreference Resolution in a Modular, Entity-Centered Model. HLT-NAACL 2010: 385-393 - [c72]Percy Liang, Michael I. Jordan, Dan Klein:
Type-Based MCMC. HLT-NAACL 2010: 573-581 - [c71]Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein:
Painless Unsupervised Learning with Features. HLT-NAACL 2010: 582-590 - 2009
- [c70]Percy Liang, Michael I. Jordan, Dan Klein:
Learning Semantic Correspondences with Less Supervision. ACL/IJCNLP 2009: 91-99 - [c69]John DeNero, Adam Pauls, Dan Klein:
Asynchronous Binarization for Synchronous Grammars. ACL/IJCNLP (2) 2009: 141-144 - [c68]Aria Haghighi, John Blitzer, John DeNero, Dan Klein:
Better Word Alignments with Supervised ITG Models. ACL/IJCNLP 2009: 923-931 - [c67]Adam Pauls, Dan Klein:
K-Best A* Parsing. ACL/IJCNLP 2009: 958-966 - [c66]Aria Haghighi, Dan Klein:
Simple Coreference Resolution with Rich Syntactic and Semantic Features. EMNLP 2009: 1152-1161 - [c65]Adam Pauls, John DeNero, Dan Klein:
Consensus Training for Consensus Decoding in Machine Translation. EMNLP 2009: 1418-1427 - [c64]Percy Liang, Michael I. Jordan, Dan Klein:
Learning from measurements in exponential families. ICML 2009: 641-648 - [c63]Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein:
Improved Reconstruction of Protolanguage Word Forms. HLT-NAACL 2009: 65-73 - [c62]John DeNero, Mohit Bansal, Adam Pauls, Dan Klein:
Efficient Parsing for Transducer Grammars. HLT-NAACL 2009: 227-235 - [c61]Adam Pauls, Dan Klein:
Hierarchical Search for Parsing. HLT-NAACL 2009: 557-565 - [c60]Percy Liang, Dan Klein:
Online EM for Unsupervised Models. HLT-NAACL 2009: 611-619 - [c59]Alexandre Bouchard-Côté, Slav Petrov, Dan Klein:
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. NIPS 2009: 144-152 - 2008
- [c58]John DeNero, Dan Klein:
The Complexity of Phrase Alignment Problems. ACL (2) 2008: 25-28 - [c57]Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein:
Learning Bilingual Lexicons from Monolingual Corpora. ACL 2008: 771-779 - [c56]Percy Liang, Dan Klein:
Analyzing the Errors of Unsupervised Learning. ACL 2008: 879-887 - [c55]Dan Klein:
Unsupervised Learning for Natural Language Processing. COLT 2008: 5-6 - [c54]Slav Petrov, Aria Haghighi, Dan Klein:
Coarse-to-Fine Syntactic Machine Translation using Language Projections. EMNLP 2008: 108-116 - [c53]John DeNero, Alexandre Bouchard-Côté, Dan Klein:
Sampling Alignment Structure under a Bayesian Translation Model. EMNLP 2008: 314-323 - [c52]Slav Petrov, Dan Klein:
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. EMNLP 2008: 867-876 - [c51]David Burkett, Dan Klein:
Two Languages are Better than One (for Syntactic Parsing). EMNLP 2008: 877-886 - [c50]Percy Liang, Hal Daumé III, Dan Klein:
Structure compilation: trading structure for features. ICML 2008: 592-599 - [c49]Jason Andrew Wolfe, Aria Haghighi, Dan Klein:
Fully distributed EM for very large datasets. ICML 2008: 1184-1191 - [c48]Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein:
Efficient Inference in Phylogenetic InDel Trees. NIPS 2008: 177-184 - [c47]Benoît Favre, Dilek Hakkani-Tür, Slav Petrov, Dan Klein:
Efficient sentence segmentation using syntactic features. SLT 2008: 77-80 - 2007
- [c46]Aria Haghighi, John DeNero, Dan Klein:
A* Search via Approximate Factoring. AAAI 2007: 1642-1645 - [c45]Slav Petrov, Dan Klein:
Learning and Inference for Hierarchically Split PCFGs. AAAI 2007: 1663-1666 - [c44]John DeNero, Dan Klein:
Tailoring Word Alignments to Syntactic Machine Translation. ACL 2007 - [c43]Aria Haghighi, Dan Klein:
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. ACL 2007 - [c42]Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein:
The Infinite PCFG Using Hierarchical Dirichlet Processes. EMNLP-CoNLL 2007: 688-697 - [c41]Alexandre Bouchard-Côté, Percy Liang, Thomas Griffiths, Dan Klein:
A Probabilistic Approach to Diachronic Phonology. EMNLP-CoNLL 2007: 887-896 - [c40]Slav Petrov, Adam Pauls, Dan Klein:
Learning Structured Models for Phone Recognition. EMNLP-CoNLL 2007: 897-905 - [c39]Dan Klein:
Introduction to Classification: Likelihoods, Margins, Features, and Kernels. HLT-NAACL (Tutorial Abstracts) 2007: 7 - [c38]Slav Petrov, Dan Klein:
Improved Inference for Unlexicalized Parsing. HLT-NAACL 2007: 404-411 - [c37]Aria Haghighi, John DeNero, Dan Klein:
Approximate Factoring for A* Search. HLT-NAACL 2007: 412-419 - [c36]Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein:
A Probabilistic Approach to Language Change. NIPS 2007: 169-176 - [c35]Percy Liang, Dan Klein, Michael I. Jordan:
Agreement-Based Learning. NIPS 2007: 913-920 - [c34]Slav Petrov, Dan Klein:
Discriminative Log-Linear Grammars with Latent Variables. NIPS 2007: 1153-1160 - [c33]David S. Rosenberg, Dan Klein, Ben Taskar:
Mixture-of-Parents Maximum Entropy Markov Models. UAI 2007: 318-325 - 2006
- [c32]Aria Haghighi, Dan Klein:
Prototype-Driven Grammar Induction. ACL 2006 - [c31]Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar:
An End-to-End Discriminative Approach to Machine Translation. ACL 2006 - [c30]Slav Petrov, Leon Barrett, Romain Thibaux, Dan Klein:
Learning Accurate, Compact, and Interpretable Tree Annotation. ACL 2006 - [c29]Slav Petrov, Leon Barrett, Dan Klein:
Non-Local Modeling with a Mixture of PCFGs. CoNLL 2006: 14-20 - [c28]Aria Haghighi, Dan Klein:
Prototype-Driven Learning for Sequence Models. HLT-NAACL 2006 - [c27]Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan:
Word Alignment via Quadratic Assignment. HLT-NAACL 2006 - [c26]Percy Liang, Benjamin Taskar, Dan Klein:
Alignment by Agreement. HLT-NAACL 2006 - [c25]Slav Petrov, Arlo Faria, Pascal Michaillat, Alexander C. Berg, Andreas Stolcke, Dan Klein, Jitendra Malik:
Detecting Categories in News Video Using Acoustic, Speech, and Image Features. TRECVID 2006 - [c24]John DeNero, Dan Gillick, James Zhang, Dan Klein:
Why Generative Phrase Models Underperform Surface Heuristics. WMT@HLT-NAACL 2006: 31-38 - 2005
- [c23]Trond Grenager, Dan Klein, Christopher D. Manning:
Unsupervised Learning of Field Segmentation Models for Information Extraction. ACL 2005: 371-378 - [c22]Benjamin Taskar, Simon Lacoste-Julien, Dan Klein:
A Discriminative Matching Approach to Word Alignment. HLT/EMNLP 2005: 73-80 - 2004
- [c21]Dan Klein, Christopher D. Manning:
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency. ACL 2004: 478-485 - [c20]Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning:
Max-Margin Parsing. EMNLP 2004: 1-8 - 2003
- [c19]Dan Klein, Christopher D. Manning:
Accurate Unlexicalized Parsing. ACL 2003: 423-430 - [c18]Dan Klein, Joseph Smarr, Huy Nguyen, Christopher D. Manning:
Named Entity Recognition with Character-Level Models. CoNLL 2003: 180-183 - [c17]Sepandar D. Kamvar, Dan Klein, Christopher D. Manning:
Spectral Learning. IJCAI 2003: 561-566 - [c16]Dan Klein, Christopher D. Manning:
Factored A* Search for Models over Sequences and Trees. IJCAI 2003: 1246-1251 - [c15]Dan Klein, Christopher D. Manning:
A* Parsing: Fast Exact Viterbi Parse Selection. HLT-NAACL 2003 - [c14]Christopher D. Manning, Dan Klein:
Optimization, Maxent Models, and Conditional Estimation without Magic. HLT-NAACL 2003 - [c13]Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer:
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. HLT-NAACL 2003 - 2002
- [c12]Dan Klein, Christopher D. Manning:
A Generative Constituent-Context Model for Improved Grammar Induction. ACL 2002: 128-135 - [c11]Dan Klein, Christopher D. Manning:
Conditional Structure versus Conditional Estimation in NLP Models. EMNLP 2002: 9-16 - [c10]Sepandar D. Kamvar, Dan Klein, Christopher D. Manning:
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach. ICML 2002: 283-290 - [c9]Dan Klein, Sepandar D. Kamvar, Christopher D. Manning:
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering. ICML 2002: 307-314 - [c8]Dan Klein, Christopher D. Manning:
Fast Exact Inference with a Factored Model for Natural Language Parsing. NIPS 2002: 3-10 - [c7]Dan Klein, Kristina Toutanova, H. Tolga Ilhan, Sepandar D. Kamvar, Christopher D. Manning:
Combining Heterogeneous Classifiers for Word Sense Disambiguation. SENSEVAL 2002: 74-80 - [c6]Taher H. Haveliwala, Aristides Gionis, Dan Klein, Piotr Indyk:
Evaluating strategies for similarity search on the web. WWW 2002: 432-442 - 2001
- [c5]Dan Klein, Christopher D. Manning:
Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank. ACL 2001: 330-337 - [c4]Dan Klein, Christopher D. Manning:
Distributional phrase structure induction. CoNLL 2001 - [c3]Dan Klein, Christopher D. Manning:
Parsing and Hypergraphs. IWPT 2001 - [c2]Dan Klein, Christopher D. Manning:
Natural Language Grammar Induction Using a Constituent-Context Model. NIPS 2001: 35-42 - [c1]H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein, Christopher D. Manning, Kristina Toutanova:
Combining Heterogeneous Classifiers for Word-Sense Disambiguation. SENSEVAL@ACL 2001: 87-90
Informal and Other Publications
- 2025
- [i99]Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia:
LangProBe: a Language Programs Benchmark. CoRR abs/2502.20315 (2025) - [i98]Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan:
Enough Coin Flips Can Make LLMs Act Bayesian. CoRR abs/2503.04722 (2025) - [i97]Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica:
Why Do Multi-Agent LLM Systems Fail? CoRR abs/2503.13657 (2025) - [i96]Vivek Verma, David Huang, William Chen, Daniel Klein, Nicholas Tomlin:
Measuring General Intelligence with Generated Games. CoRR abs/2505.07215 (2025) - [i95]Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Daniel Klein, Matei Zaharia, Omar Khattab:
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. CoRR abs/2507.19457 (2025) - [i94]Noah Ziems, Dilara Soylu, Lakshya A. Agrawal, Isaac Miller, Liheng Lai, Chen Qian, Kaiqiang Song, Meng Jiang, Daniel Klein, Matei Zaharia, Karel D'Oosterlinck, Christopher Potts, Omar Khattab:
Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs. CoRR abs/2508.04660 (2025) - [i93]Eve Fleisig, Matthias Orlikowski, Philipp Cimiano, Daniel Klein:
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions. CoRR abs/2509.08217 (2025) - 2024
- [i92]Alexander Wan, Eric Wallace, Dan Klein:
What Evidence Do Language Models Find Convincing? CoRR abs/2402.11782 (2024) - [i91]Yizhou Chi, Kevin Yang, Dan Klein:
THOUGHTSCULPT: Reasoning with Intermediate Revision and Search. CoRR abs/2404.05966 (2024) - [i90]Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell:
Pose Priors from Language Models. CoRR abs/2405.03689 (2024) - [i89]Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat:
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR abs/2405.05860 (2024) - [i88]Yizhou Chi, Jessy Lin, Kevin Lin, Dan Klein:
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval. CoRR abs/2405.15784 (2024) - [i87]Kayo Yin, Terry Regier, Dan Klein:
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. CoRR abs/2406.04024 (2024) - [i86]Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein:
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. CoRR abs/2406.08818 (2024) - [i85]Austen Liao, Nicholas Tomlin, Dan Klein:
Efficacy of Language Model Self-Play in Non-Zero-Sum Games. CoRR abs/2406.18872 (2024) - [i84]Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein:
FACTTRACK: Time-Aware World State Tracking in Story Outlines. CoRR abs/2407.16347 (2024) - [i83]Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt:
Explaining Datasets in Words: Statistical Models with Natural Language Parameters. CoRR abs/2409.08466 (2024) - [i82]Charlie Snell, Eric Wallace, Dan Klein, Sergey Levine:
Predicting Emergent Capabilities by Finetuning. CoRR abs/2411.16035 (2024) - 2023
- [i81]Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt:
Goal Driven Discovery of Distributional Differences via Language Descriptions. CoRR abs/2302.14233 (2023) - [i80]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. CoRR abs/2305.00944 (2023) - [i79]Eve Fleisig, Rediet Abebe, Dan Klein:
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. CoRR abs/2305.06626 (2023) - [i78]Vivek Verma, Nicholas Tomlin, Dan Klein:
Revisiting Entropy Rate Constancy in Text. CoRR abs/2305.12084 (2023) - [i77]Vyoma Raman, Eve Fleisig, Dan Klein:
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. CoRR abs/2305.14735 (2023) - [i76]Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein:
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. CoRR abs/2305.15047 (2023) - [i75]Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR abs/2305.15053 (2023) - [i74]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 abs/2306.01058 (2023) - [i73]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 abs/2306.05392 (2023) - [i72]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. CoRR abs/2307.03214 (2023) - [i71]Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian:
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment. CoRR abs/2307.12950 (2023) - [i70]Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan:
Learning to Model the World with Language. CoRR abs/2308.01399 (2023) - [i69]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023) - [i68]Olivia Huang, Eve Fleisig, Dan Klein:
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. CoRR abs/2311.02802 (2023) - [i67]Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein:
Improving Pacing in Long-Form Story Planning. CoRR abs/2311.04459 (2023) - [i66]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Comparative Multi-View Language Grounding. CoRR abs/2311.06694 (2023) - 2022
- [i65]Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt:
Summarizing Differences between Text Distributions with Natural Language. CoRR abs/2201.12323 (2022) - [i64]Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan:
Inferring Rewards from Language in Context. CoRR abs/2204.02515 (2022) - [i63]Nicholas Tomlin, Andre He, Dan Klein:
Understanding Game-Playing Agents with Natural Language Annotations. CoRR abs/2204.07531 (2022) - [i62]Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein:
Automated Crossword Solving. CoRR abs/2205.09665 (2022) - [i61]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. CoRR abs/2205.09710 (2022) - [i60]Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner:
Active Programming by Example with a Natural Language Prior. CoRR abs/2205.12422 (2022) - [i59]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 abs/2209.07800 (2022) - [i58]Charlie Snell, Dan Klein, Ruiqi Zhong:
Learning by Distilling Context. CoRR abs/2209.15189 (2022) - [i57]Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein:
Re3: Generating Longer Stories With Recursive Reprompting and Revision. CoRR abs/2210.06774 (2022) - [i56]Andre He, Nicholas Tomlin, Dan Klein:
Neural Unsupervised Reconstruction of Protolanguage Word Forms. CoRR abs/2211.08684 (2022) - [i55]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. CoRR abs/2212.03827 (2022) - [i54]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. CoRR abs/2212.10077 (2022) - [i53]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 abs/2212.10564 (2022) - 2021
- [i52]Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR abs/2102.09690 (2021) - [i51]Charlie Snell, Ruiqi Zhong, Dan Klein, Jacob Steinhardt:
Approximating How Single Head Attention Learns. CoRR abs/2103.07601 (2021) - [i50]Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein:
Meta-tuning Language Models to Answer Prompts Better. CoRR abs/2104.04670 (2021) - [i49]Kevin Yang, Dan Klein:
FUDGE: Controlled Text Generation With Future Discriminators. CoRR abs/2104.05218 (2021) - [i48]Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein:
Detoxifying Language Models Risks Marginalizing Minority Voices. CoRR abs/2104.06390 (2021) - [i47]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 abs/2104.08768 (2021) - [i46]Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt:
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. CoRR abs/2105.06020 (2021) - [i45]David Gaddy, Dan Klein:
An Improved Model for Voicing Silent Speech. CoRR abs/2106.01933 (2021) - [i44]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 abs/2106.10544 (2021) - [i43]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. CoRR abs/2109.05042 (2021) - 2020
- [i42]Steven Cao, Nikita Kitaev, Dan Klein:
Multilingual Alignment of Contextual Word Representations. CoRR abs/2002.03518 (2020) - [i41]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR abs/2002.11794 (2020) - [i40]Ruiqi Zhong, Mitchell Stern, Dan Klein:
Semantic Scaffolds for Pseudocode-to-Code Generation. CoRR abs/2005.05927 (2020) - [i39]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. CoRR abs/2009.11423 (2020) - [i38]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. CoRR abs/2010.02164 (2020) - [i37]Ruiqi Zhong, Tao Yu, Dan Klein:
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. CoRR abs/2010.02840 (2020) - [i36]David Gaddy, Dan Klein:
Digital Voicing of Silent Speech. CoRR abs/2010.02960 (2020) - [i35]Steven Cao, Nikita Kitaev, Dan Klein:
Unsupervised Parsing via Constituency Tests. CoRR abs/2010.03146 (2020) - [i34]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modularity Improves Out-of-Domain Instruction Following. CoRR abs/2010.12764 (2020) - [i33]Catherine Chen, Kevin Lin, Dan Klein:
Inducing Taxonomic Knowledge from Pretrained Transformers. CoRR abs/2010.12813 (2020) - 2019
- [i32]Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein:
Pragmatically Informative Text Generation. CoRR abs/1904.01301 (2019) - [i31]Nikita Kitaev, Dan Klein:
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. CoRR abs/1904.09745 (2019) - [i30]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR abs/1906.00347 (2019) - [i29]Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. CoRR abs/1907.04347 (2019) - [i28]David Gaddy, Dan Klein:
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. CoRR abs/1907.09671 (2019) - [i27]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. CoRR abs/1910.00748 (2019) - 2018
- [i26]David Gaddy, Mitchell Stern, Dan Klein:
What's Going On in Neural Constituency Parsers? An Analysis. CoRR abs/1804.07853 (2018) - [i25]Nikita Kitaev, Dan Klein:
Constituency Parsing with a Self-Attentive Encoder. CoRR abs/1805.01052 (2018) - [i24]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i23]Daniel Fried, Dan Klein:
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. CoRR abs/1806.03290 (2018) - [i22]Nikita Kitaev, Dan Klein:
Multilingual Constituency Parsing with Self-Attention and Pre-Training. CoRR abs/1812.11760 (2018) - 2017
- [i21]Jacob Andreas, Anca D. Dragan, Dan Klein:
Translating Neuralese. CoRR abs/1704.06960 (2017) - [i20]Maxim Rabinovich, Mitchell Stern, Dan Klein:
Abstract Syntax Networks for Code Generation and Semantic Parsing. CoRR abs/1704.07535 (2017) - [i19]Maxim Rabinovich, Dan Klein:
Fine-Grained Entity Typing with High-Multiplicity Assignments. CoRR abs/1704.07751 (2017) - [i18]Mitchell Stern, Jacob Andreas, Dan Klein:
A Minimal Span-Based Neural Constituency Parser. CoRR abs/1705.03919 (2017) - [i17]Daniel Fried, Mitchell Stern, Dan Klein:
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. CoRR abs/1707.03058 (2017) - [i16]Jonathan K. Kummerfeld, Dan Klein:
Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation. CoRR abs/1707.04221 (2017) - [i15]Jacob Andreas, Dan Klein:
Analogs of Linguistic Structure in Deep Representations. CoRR abs/1707.08139 (2017) - [i14]Mitchell Stern, Daniel Fried, Dan Klein:
Effective Inference for Generative Neural Parsing. CoRR abs/1707.08976 (2017) - [i13]Jacob Andreas, Dan Klein, Sergey Levine:
Learning with Latent Language. CoRR abs/1711.00482 (2017) - [i12]Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. CoRR abs/1711.04987 (2017) - 2016
- [i11]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Learning to Compose Neural Networks for Question Answering. CoRR abs/1601.01705 (2016) - [i10]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR abs/1603.08887 (2016) - [i9]Jacob Andreas, Dan Klein:
Reasoning About Pragmatics with Neural Listeners and Speakers. CoRR abs/1604.00562 (2016) - [i8]Matthew Francis-Landau, Greg Durrett, Dan Klein:
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. CoRR abs/1604.00734 (2016) - [i7]Jacob Andreas, Dan Klein, Sergey Levine:
Modular Multitask Reinforcement Learning with Policy Sketches. CoRR abs/1611.01796 (2016) - 2015
- [i6]Jacob Andreas, Maxim Rabinovich, Dan Klein, Michael I. Jordan:
On the accuracy of self-normalized log-linear models. CoRR abs/1506.04147 (2015) - [i5]Greg Durrett, Dan Klein:
Neural CRF Parsing. CoRR abs/1507.03641 (2015) - [i4]Jacob Andreas, Dan Klein:
Alignment-based compositional semantics for instruction following. CoRR abs/1508.06491 (2015) - [i3]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Deep Compositional Question Answering with Neural Module Networks. CoRR abs/1511.02799 (2015) - 2012
- [i2]David S. Rosenberg, Dan Klein, Ben Taskar:
Mixture-of-Parents Maximum Entropy Markov Models. CoRR abs/1206.5261 (2012) - 2011
- [i1]Percy Liang, Michael I. Jordan, Dan Klein:
Learning Dependency-Based Compositional Semantics. CoRR abs/1109.6841 (2011)
Coauthor Index
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