most citedAn overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024

An Interpretable Client Decision Tree Aggregation process for Federated Learning

Alberto Argente-Garrido, Cristina Zuheros, M. Victoria Luzón +1

Trustworthy Artificial Intelligence solutions are essential in today's data-driven applications, prioritizing principles such as robustness, safety, transparency, explainability, a…