Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDan Klein
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c196]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- [c195]Andre He, Nicholas Tomlin, Dan Klein:
Neural Unsupervised Reconstruction of Protolanguage Word Forms. ACL (1) 2023: 1636-1649 - [c194]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. ACL (1) 2023: 3378-3465 - [c193]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 - [c192]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. ACL (Findings) 2023: 10018-10037 - [c191]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 - [c190]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. ICLR 2023 - [c189]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. ICML 2023: 35413-35425 - [c188]Mattia Fumagalli
, Gal Engelberg, Tiago Prince Sales, Italo Jose da Silva Oliveira, Dan Klein, Pnina Soffer, Riccardo Baratella, Giancarlo Guizzardi:
On the Semantics of Risk Propagation. RCIS 2023: 69-86 - [c187]Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi:
An Ontology-Driven Approach for Process-Aware Risk Propagation. SAC 2023: 1742-1745 - [i82]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) - [i81]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. CoRR abs/2305.00944 (2023) - [i80]Eve Fleisig, Rediet Abebe, Dan Klein:
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. CoRR abs/2305.06626 (2023) - [i79]Vivek Verma, Nicholas Tomlin, Dan Klein:
Revisiting Entropy Rate Constancy in Text. CoRR abs/2305.12084 (2023) - [i78]Vyoma Raman, Eve Fleisig, Dan Klein:
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. CoRR abs/2305.14735 (2023) - [i77]Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein:
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. CoRR abs/2305.15047 (2023) - [i76]Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR abs/2305.15053 (2023) - [i75]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) - [i74]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) - [i73]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. CoRR abs/2307.03214 (2023) - [i72]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) - [i71]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) - [i70]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023) - [i69]Olivia Huang, Eve Fleisig, Dan Klein:
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. CoRR abs/2311.02802 (2023) - [i68]Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein:
Improving Pacing in Long-Form Story Planning. CoRR abs/2311.04459 (2023) - [i67]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Comparative Multi-View Language Grounding. CoRR abs/2311.06694 (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 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 - [i66]Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt:
Summarizing Differences between Text Distributions with Natural Language. CoRR abs/2201.12323 (2022) - [i65]Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan:
Inferring Rewards from Language in Context. CoRR abs/2204.02515 (2022) - [i64]Nicholas Tomlin, Andre He, Dan Klein:
Understanding Game-Playing Agents with Natural Language Annotations. CoRR abs/2204.07531 (2022) - [i63]Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, Dan Klein:
Automated Crossword Solving. CoRR abs/2205.09665 (2022) - [i62]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. CoRR abs/2205.09710 (2022) - [i61]Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner:
Active Programming by Example with a Natural Language Prior. CoRR abs/2205.12422 (2022) - [i60]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) - [i59]Charlie Snell, Dan Klein, Ruiqi Zhong:
Learning by Distilling Context. CoRR abs/2209.15189 (2022) - [i58]Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein:
Re3: Generating Longer Stories With Recursive Reprompting and Revision. CoRR abs/2210.06774 (2022) - [i57]Andre He, Nicholas Tomlin, Dan Klein:
Neural Unsupervised Reconstruction of Protolanguage Word Forms. CoRR abs/2211.08684 (2022) - [i56]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. CoRR abs/2212.03827 (2022) - [i55]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. CoRR abs/2212.10077 (2022) - [i54]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) - [i53]Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi:
Towards an Ontology-Driven Approach for Process-Aware Risk Propagation. CoRR abs/2212.11763 (2022) - 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 - [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
- [j9]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) - [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 - [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)
2010 – 2019
- 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 - [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
- [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 - [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
- [j8]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) - [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 - [i21]Jacob Andreas, Anca D. Dragan,