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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...8 Hits 1 – 20 of 143 1 WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ... Liu, Alisa; Swayamdipta, Swabha; Smith, Noah A.. - : arXiv, 2022 BASE Show details 2 Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ... Sap, Maarten; Swayamdipta, Swabha; Vianna, Laura. - : arXiv, 2021 BASE Show details 3 Probing Across Time: What Does RoBERTa Know and When? ... Liu, Leo Z.; Wang, Yizhong; Kasai, Jungo. - : arXiv, 2021 BASE Show details 4 Specializing Multilingual Language Models: An Empirical Study ... Chau, Ethan C.; Smith, Noah A.. - : arXiv, 2021 BASE Show details 5 Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 6 Finetuning Pretrained Transformers into RNNs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Weizhu; Ilharco, Gabriel. - : Underline Science Inc., 2021 BASE Show details 7 Green NLP panel ... 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. - : Underline Science Inc., 2021 BASE Show details 8 Sentence Bottleneck Autoencoders from Transformer Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Montero, Ivan; Pappas, Nikolaos. - : Underline Science Inc., 2021 BASE Show details 9 All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text ... 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; August, Tal; Clark, Elizabeth. - : Underline Science Inc., 2021 BASE Show details 10 Measuring Association Between Labels and Free-Text Rationales ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Marasovic, Ana; Smith, Noah A.. - : Underline Science Inc., 2021 BASE Show details 11 Promoting Graph Awareness in Linearized Graph-to-Text Generation ... 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; Hoyle, Alexander; Marasovic, Ana. - : Underline Science Inc., 2021 BASE Show details 12 Shortformer: Better Language Modeling using Shorter Inputs ... 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; Lewis, Mike; Press, Ofir. - : Underline Science Inc., 2021 BASE Show details 13 DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ... 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; Bhagavatula, Chandra; Choi, Yejin; Liu, Alisa; Lu, Ximing; Sap, Maarten; Smith, Noah; Swayamdipta, Swabha. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.522 Abstract: Despite recent advances in natural language generation, it remains challenging to control attributes of generated text. We propose DExperts: Decoding-time Experts, a decoding-time method for controlled text generation that combines a pretrained language model with "expert" LMs and/or "anti-expert" LMs in a product of experts. Intuitively, under the ensemble, tokens only get high probability if they are considered likely by the experts, and unlikely by the anti-experts. We apply DExperts to language detoxification and sentiment-controlled generation, where we outperform existing controllable generation methods on both automatic and human evaluations. Moreover, because DExperts operates only on the output of the pretrained LM, it is effective with (anti-)experts of smaller size, including when operating on GPT-3. Our work highlights the promise of tuning small LMs on text with (un)desirable attributes for efficient decoding-time steering. ... URL: https://dx.doi.org/10.48448/12f3-6592 https://underline.io/lecture/25748-dexperts-decoding-time-controlled-text-generation-with-experts-and-anti-experts BASE Hide details 14 Specializing Multilingual Language Models: An Empirical Study ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chau, Ethan; Smith, Noah. - : Underline Science Inc., 2021 BASE Show details 15 Challenges in Automated Debiasing for Toxic Language Detection ... Zhou, Xuhui; Sap, Maarten; Swayamdipta, Swabha. - : arXiv, 2021 BASE Show details 16 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ... Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021 BASE Show details 17 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 18 Competency Problems: On Finding and Removing Artifacts in Language Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dodge, Jesse; Gardner, Matt. - : Underline Science Inc., 2021 BASE Show details 19 Infusing Finetuning with Semantic Dependencies ... 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; Peng, Hao; Smith, Noah. - : Underline Science Inc., 2021 BASE Show details 20 Extracting and Inferring Personal Attributes from Dialogue Wang, Zhilin. - 2021 BASE Show details Page: 1 2 3 4 5...8

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