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WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ...
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ...
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Specializing Multilingual Language Models: An Empirical Study ...
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Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
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Green NLP panel ...
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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Iryna; Arase, Yuki; Blunsom, Phil; Diab, Mona; Dodge, Jesse; Liang, Percy; Raffel, Colin; Schwartz, Roy; Smith, Noah; Strubell, Emma; Zhang, Yue. - : Underline Science Inc., 2021
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Abstract:
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URL: https://dx.doi.org/10.48448/rn9m-zf06 https://underline.io/lecture/31194-green-nlp-panel
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Sentence Bottleneck Autoencoders from Transformer Language Models ...
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All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text ...
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Measuring Association Between Labels and Free-Text Rationales ...
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Promoting Graph Awareness in Linearized Graph-to-Text Generation ...
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Shortformer: Better Language Modeling using Shorter Inputs ...
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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ...
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Specializing Multilingual Language Models: An Empirical Study ...
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Challenges in Automated Debiasing for Toxic Language Detection ...
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NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
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Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ...
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Competency Problems: On Finding and Removing Artifacts in Language Data ...
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