Publications and Papers

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To Appear

  • Hard Attention Isn’t All You Need: The Power of Saturated Transformers. William Merrill, Ashish Sabharwal, and Noah A. Smith. Transactions of the Association for Computational Linguistics, 2022.
  • Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, and Noah A. Smith. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Daniel Morrison, Alexander Fabbri, Yejin Choi, and Noah A. Smith. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • DEMix Layers: Disentangling Domains for Modular Language Modeling. Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, and Luke Zettlemoyer. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, and Yejin Choi. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • Time Waits for No One! Analysis and Challenges of Temporal Misalignment. Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, and Noah A. Smith. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • Transparent Human Evaluation for Image Captioning. Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Daniel Morrison, Ronan Le Bras, Yejin Choi, and Noah A. Smith. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.
  • Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning. Daniel Edmiston, Phillip Keung, and Noah A. Smith. In Proceedings of the Language Resources and Evaluation Conference (LREC 2022), Marseille, France, June 2022.
  • Measuring Machine Learning Software Carbon Intensity in Cloud Instances. Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, and Will Buchanan. In Conference on Fairness, Accountability, and Transparency (FAcct 2022), Seoul, June 2022.
  • The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems. Daniel Cheng, Kyle Yan, Phillip Keung, and Noah A. Smith. In Proceedings of the Language Resources and Evaluation Conference (LREC 2022), Marseille, France, June 2022.
  • ABC: Attention with Bounded-memory Control. Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, and Noah A. Smith. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, May 2022.
  • Generating Scientific Definitions with Controllable Complexity. Tal August, Katharina Reinecke, and Noah A. Smith. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, May 2022.
  • Is GPT-3 Text Indistinguishable from Human Text? SCARECROW: A Framework for Scrutinizing Machine Text. Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, and Yejin Choi. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, May 2022.

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20th Century