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1
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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3
Probing Across Time: What Does RoBERTa Know and When? ...
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4
Specializing Multilingual Language Models: An Empirical Study ...
Chau, Ethan C.; Smith, Noah A.. - : arXiv, 2021
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5
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
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6
Measuring Association Between Labels and Free-Text Rationales ...
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7
Promoting Graph Awareness in Linearized Graph-to-Text Generation ...
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8
Challenges in Automated Debiasing for Toxic Language Detection ...
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9
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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10
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ...
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11
Competency Problems: On Finding and Removing Artifacts in Language Data ...
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12
Extracting and Inferring Personal Attributes from Dialogue
Wang, Zhilin. - 2021
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13
Positive AI with Social Commonsense Models
Sap, Maarten. - 2021
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14
Semantic Comparisons for Natural Language Processing Applications
Lin, Lucy. - 2021
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15
Challenges in Automated Debiasing for Toxic Language Detection
ZHOU, XUHUI. - 2021
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16
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank ...
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17
The Multilingual Amazon Reviews Corpus ...
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18
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings ...
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19
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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20
Grounded Compositional Outputs for Adaptive Language Modeling ...
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