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Found 4 papers, 2 papers with code
Challenging common interpretability assumptions in feature attribution explanations
As machine learning and algorithmic decision making systems are increasingly being leveraged in high-stakes human-in-the-loop settings, there is a pressing need to understand the rationale of their predictions.
Decision Making
Explainable Artificial Intelligence (XAI)
+1
Does Pretraining for Summarization Require Knowledge Transfer?
Pretraining techniques leveraging enormous datasets have driven recent advances in text summarization.
A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
It also has the effect of giving the requester a bad reputation on the workers' forums.
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
Dialog system developers need high-quality data to train, fine-tune and assess their systems.
