1 citations · 2 across the 10 of their papers we have counts for
3 papers · 1 filter
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler, Abhineet Agarwal, Justin Singh Kang +3
Large Language Models (LLMs) have achieved remarkable performance by capturing complex interactions between input features. To identify these interactions, most existing approaches…
Online Assortment and Price Optimization Under Contextual Choice Models
Yigit Efe Erginbas, Thomas A. Courtade, Kannan Ramchandran
We consider an assortment selection and pricing problem in which a seller has different items available for sale. In each round, the seller observes a -dimensional contextua…
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin Singh Kang, Landon Butler, Abhineet Agarwal +4
Large language models (LLMs) have revolutionized machine learning due to their ability to capture complex interactions between input features. Popular post-hoc explanation methods…