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Real-world domain experts (e.g., doctors) rarely annotate only a decision label in their day-to-day workflow without providing explanations.
Deep batch active learning by diverse, uncertain gradient lower bounds
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Exploiting cloze-questions for few-shot text classification and natural language inference
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Finetuned language models are zero-shot learners
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Mo Yu, Shiyu Chang, Yang Zhang, and Tommi Jaakkola. 2019 · 2019
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Evaluating and characterizing human rationales
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An mturk crisis? shifts in data quality and the impact on study results
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Effect of ai explanations on human perceptions of patient-facing ai-powered healthcare systems
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