8 citations · 12 across the 5 of their papers we have counts for
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cs.LG2023★ 2 cited
The Disagreement Problem in Faithfulness Metrics
Brian Barr, Noah Fatsi, Leif Hancox-Li +3
The field of explainable artificial intelligence (XAI) aims to explain how black-box machine learning models work. Much of the work centers around the holy grail of providing post-…
cs.LG2022★ 8 cited
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Borhane Blili-Hamelin, Leif Hancox-Li
In recent years, ML researchers have wrestled with defining and improving machine learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the ethic…