23 citations · 81 across the 22 of their papers we have counts for
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cs.HC2024
The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models
Boris Ruf, Marcin Detyniecki
We propose a simple way to use large language models (LLMs) in education. Specifically, our method aims to improve individual comprehension by adding a novel feature to online vide…
cs.LG2024★ 4 cited
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove, Thibault Laugel, Marie-Jeanne Lesot +2
As Machine Learning models achieve unprecedented levels of performance, the XAI domain aims at making these models understandable by presenting end-users with intelligible explanat…
cs.LG2024★ 1 cited
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
Vincent Grari, Marcin Detyniecki
This paper presents a novel approach to optimizing profit margins in non-life insurance markets through a gradient descent-based method, targeting three key objectives: 1) maximizi…