Gjergji Kasneci

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations

2022 · arXiv (Cornell University)

Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A better understanding of the needs of XAI users, as well as human-centered evaluations of explainable models are both a …

Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

In recent years, game-theoretic Shapley values have gained increasing attention with respect to local model explanation by feature attributions. While the approach using Shapley values is model-independent, their (exact) computation is usually intractable, so efficient …

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs

2025 · arXiv (Cornell University)

Tabular data is critical across diverse domains, yet high-quality datasets remain scarce due to privacy concerns and the cost of collection. Contemporary approaches adopt large language models (LLMs) for tabular augmentation, but exhibit two major …