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Data Science with LLMs and Interpretable Models.

, , , и . CoRR, (2024)

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Hasima Nori

Nori Möding

Nori Görmer

Wafa Nori

Harsha Mahabaleshwar

 

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Data Science with LLMs and Interpretable Models., , , и . CoRR, (2024)Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine., , , , , , , , , и 8 other автор(ы). CoRR, (2023)Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data., , , , , и . PKDD/ECML Workshops (1), том 1524 из Communications in Computer and Information Science, стр. 534-551. Springer, (2021)Comparing Population Means Under Local Differential Privacy: With Significance and Power., , , и . AAAI, стр. 26-33. AAAI Press, (2018)LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs., , , , , , и . CoRR, (2023)Elephants Never Forget: Testing Language Models for Memorization of Tabular Data., , и . CoRR, (2024)Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes., , , , , , , и . CoRR, (2023)Differentially Private Estimation of Heterogeneous Causal Effects., , , , , и . CLeaR, том 177 из Proceedings of Machine Learning Research, стр. 618-633. PMLR, (2022)Supporting Human-AI Collaboration in Auditing LLMs with LLMs., , , , и . AIES, стр. 913-926. ACM, (2023)Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes., , , , , , , и . CoRR, (2022)