8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales
Brihi Joshi, Ziyi Liu, Sahana Ramnath +6
Among the remarkable emergent capabilities of large language models (LMs) is free-text rationalization; beyond a certain scale, large LMs are capable of generating seemingly useful…
cs.LG2022★ 8 cited
BARACK: Partially Supervised Group Robustness With Guarantees
Nimit S. Sohoni, Maziar Sanjabi, Nicolas Ballas +4
While neural networks have shown remarkable success on classification tasks in terms of average-case performance, they often fail to perform well on certain groups of the data. Suc…