208 citations · 453 across the 20 of their papers we have counts for
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In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
Nicholas Kroeger, Dan Ley, Satyapriya Krishna +2
Recent advancements in Large Language Models (LLMs) have demonstrated exceptional capabilities in complex tasks like machine translation, commonsense reasoning, and language unders…
On the Trade-offs between Adversarial Robustness and Actionable Explanations
Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
As machine learning models are increasingly being employed in various high-stakes settings, it becomes important to ensure that predictions of these models are not only adversarial…
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna, Jiaqi Ma, Dylan Slack +3
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationale…
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. Whil…