93 citations · 185 across the 6 of their papers we have counts for
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cs.AI2023★ 93 cited
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman, Robert Ness, Amit Sharma +1
The causal capabilities of large language models (LLMs) are a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as m…
cs.AI2022★ 7 cited
Machine Explanations and Human Understanding
Chacha Chen, Shi Feng, Amit Sharma +1
Explanations are hypothesized to improve human understanding of machine learning models and achieve a variety of desirable outcomes, ranging from model debugging to enhancing human…