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ORCIDNoah A. Smith
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- affiliation: University of Washington, Seattle, WA, USA
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2022
[c232]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) 2022: 7250-7274- [c231]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c230]Tal August, Katharina Reinecke, Noah A. Smith:
Generating Scientific Definitions with Controllable Complexity. ACL (1) 2022: 8298-8317 - [c229]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT 2022: 1877-1894 - [i138]Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz:
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR abs/2201.02662 (2022) - [i137]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR abs/2201.05955 (2022) - [i136]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i135]Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith:
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. CoRR abs/2201.10474 (2022) - [i134]Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf:
In-Context Learning for Few-Shot Dialogue State Tracking. CoRR abs/2203.08568 (2022) - [i133]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i132]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i131]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i130]Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Unsupervised Learning of Hierarchical Conversation Structure. CoRR abs/2205.12244 (2022) - [i129]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR abs/2206.05229 (2022) - 2021
- [j29]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. Trans. Assoc. Comput. Linguistics 9: 226-242 (2021) - [c228]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. ACL/IJCNLP (Findings) 2021: 944-956 - [c227]Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Explaining Relationships Between Scientific Documents. ACL/IJCNLP (1) 2021: 2130-2144 - [c226]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. ACL/IJCNLP (1) 2021: 5493-5505 - [c225]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) 2021: 6691-6706 - [c224]Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. ACL/IJCNLP (1) 2021: 7282-7296 - [c223]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC 2021 - [c222]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith:
Challenges in Automated Debiasing for Toxic Language Detection. EACL 2021: 3143-3155 - [c221]Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? EMNLP (Findings) 2021: 820-842 - [c220]William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent. EMNLP (1) 2021: 1766-1781 - [c219]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) 2021: 1801-1813 - [c218]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. EMNLP (1) 2021: 1822-1831 - [c217]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) 2021: 4066-4073 - [c216]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. EMNLP (1) 2021: 10266-10284 - [c215]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. EMNLP (1) 2021: 10630-10643 - [c214]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR 2021 - [c213]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. ICLR 2021 - [c212]Elizabeth Clark, Noah A. Smith:
Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models. NAACL-HLT 2021: 3566-3575 - [c211]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT 2021: 4599-4610 - [i128]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i127]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. CoRR abs/2102.00086 (2021) - [i126]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. CoRR abs/2103.02143 (2021) - [i125]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. CoRR abs/2103.13076 (2021) - [i124]Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? CoRR abs/2104.07885 (2021) - [i123]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR abs/2104.08646 (2021) - [i122]Rik Koncel-Kedziorski, Noah A. Smith:
Go Forth and Prosper: Language Modeling with Ancient Textual History. CoRR abs/2104.08742 (2021) - [i121]William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? CoRR abs/2104.10809 (2021) - [i120]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR abs/2105.03011 (2021) - [i119]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR abs/2105.03023 (2021) - [i118]Ethan C. Chau, Noah A. Smith:
Specializing Multilingual Language Models: An Empirical Study. CoRR abs/2106.09063 (2021) - [i117]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. CoRR abs/2106.09700 (2021) - [i116]William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
On the Power of Saturated Transformers: A View from Circuit Complexity. CoRR abs/2106.16213 (2021) - [i115]Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. CoRR abs/2107.00061 (2021) - [i114]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. CoRR abs/2107.01294 (2021) - [i113]Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR abs/2108.05036 (2021) - [i112]Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. CoRR abs/2108.12409 (2021) - [i111]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. CoRR abs/2109.00055 (2021) - [i110]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR abs/2110.00613 (2021) - [i109]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - [i108]Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith:
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. CoRR abs/2111.07408 (2021) - [i107]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. CoRR abs/2111.07997 (2021) - [i106]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. CoRR abs/2111.08940 (2021) - [i105]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i104]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - 2020
- [j28]Noah A. Smith:
Contextual word representations: putting words into computers. Commun. ACM 63(6): 66-74 (2020) - [j27]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. Commun. ACM 63(12): 54-63 (2020) - [j26]Marta R. Costa-jussà, Cristina España-Bonet, Pascale Fung, Noah A. Smith:
Multilingual and Interlingual Semantic Representations for Natural Language Processing: A Brief Introduction. Comput. Linguistics 46(2): 249-255 (2020) - [j25]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. Frontiers Artif. Intell. 3: 34 (2020) - [j24]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. Trans. Assoc. Comput. Linguistics 8: 828-841 (2020) - [c210]Tal August, Maarten Sap, Elizabeth Clark, Katharina Reinecke, Noah A. Smith:
Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. NUSE@ACL 2020: 46-54 - [c209]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav
:
A Formal Hierarchy of RNN Architectures. ACL 2020: 443-459 - [c208]Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker:
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL 2020: 1970-1978 - [c207]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. ACL 2020: 2996-3005 - [c206]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c205]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h - 1 Heads is Better than h Heads. ACL 2020: 6566-6577 - [c204]Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. ACL 2020: 6640-6651 - [c203]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL 2020: 8342-8360 - [c202]Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke:
Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. CHI 2020: 1-12 - [c201]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. EMNLP (1) 2020: 1252-1267 - [c200]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c199]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Treebank, and a Small Corpus. EMNLP (Findings) 2020: 1324-1334 - [c198]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) 2020: 2810-2829 - [c197]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. EMNLP (Findings) 2020: 3356-3369 - [c196]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. EMNLP (1) 2020: 4563-4568 - [c195]Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c194]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. EMNLP (1) 2020: 5012-5025 - [c193]Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith:
Writing Strategies for Science Communication: Data and Computational Analysis. EMNLP (1) 2020: 5327-5344 - [c192]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. EMNLP (1) 2020: 6076-6092 - [c191]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) 2020: 9275-9293 - [i103]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. CoRR abs/2001.00329 (2020) - [i102]Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. CoRR abs/2002.00317 (2020) - [i101]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i100]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i99]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i98]Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR abs/2004.07453 (2020) - [i97]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav:
A Formal Hierarchy of RNN Architectures. CoRR abs/2004.08500 (2020) - [i96]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR abs/2004.10964 (2020) - [i95]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h-1 Heads is Better than h Heads. CoRR abs/2005.06537 (2020) - [i94]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i93]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR abs/2009.10795 (2020) - [i92]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. CoRR abs/2009.11462 (2020) - [i91]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. CoRR abs/2009.11523 (2020) - [i90]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank. CoRR abs/2009.14124 (2020) - [i89]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. CoRR abs/2010.01263 (2020) - [i88]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. CoRR abs/2010.02573 (2020) - [i87]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. CoRR abs/2010.02983 (2020) - [i86]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR abs/2010.07526 (2020) - [i85]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. CoRR abs/2010.07761 (2020) - [i84]William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Parameter Norm Growth During Training of Transformers. CoRR abs/2010.09697 (2020) - [i83]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. CoRR abs/2010.12762 (2020) - [i82]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. CoRR abs/2012.05395 (2020) - [i81]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. CoRR abs/2012.15793 (2020) - [i80]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. CoRR abs/2012.15832 (2020)
2010 – 2019
- 2019
- [j23]Kelvin Luu, Chenhao Tan, Noah A. Smith:
Measuring Online Debaters' Persuasive Skill from Text over Time. Trans. Assoc. Comput. Linguistics 7: 537-550 (2019) - [j22]Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13(1): 1:1-1:29 (2019) - [c190]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c189]Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith:
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c188]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. ACL (1) 2019: 1679-1684 - [c187]Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith:
Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts. ACL (1) 2019: 2748-2760 - [c186]Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? ACL (1) 2019: 2931-2951 - [c185]Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. ACL (1) 2019: 5880-5894 - [c184]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoNLL 2019: 304-315 - [c183]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) 2019: 43-54 - [c182]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) 2019: 1179-1184 - [c181]