3 papers
cs.GT2026
An Asymptotic Analysis of the Shapley Value for Dataset Valuation
Mélissa Tamine, Benjamin Heymann, Maxime Vono +1
We propose an asymptotic analysis of the Shapley value in a dataset valuation setting in which utilities are modeled as smooth functionals of empirical distributions via reproducin…
cs.LG2026
Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization
Mélissa Tamine, Otmane Sakhi, Benjamin Heymann +2
Data valuation is a natural framework for understanding which preference datasets matter most when aligning a Large Language Model (LLM) using multiple sources. The standard game-t…
cs.AI2026
On the Impact of the Utility in Semivalue-based Data Valuation
Mélissa Tamine, Benjamin Heymann, Maxime Vono +1
Semivalue-based data valuation uses cooperative-game theory intuitions to assign each data point a value reflecting its contribution to a downstream task. Still, those values depen…