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Found 2 papers, 1 papers with code
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory
In natural language processing, multi-dataset benchmarks for common tasks (e. g., SuperGLUE for natural language inference and MRQA for question answering) have risen in importance.
Benchmarking Intersectional Biases in NLP
While much work has highlighted biases embedded in state-of-the-art language models, and more recent efforts have focused on how to debias, research assessing the fairness and performance of biased/debiased models on downstream prediction tasks has been limited.
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