most citedThe Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games

3 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem

Oleg Kachan, Andrey Savchenko, Gleb Gusev

SMOTE (Synthetic Minority Oversampling Technique) is the established geometric approach to random oversampling to balance classes in the imbalanced learning problem, followed by ma…