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cs.LG2025
ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection
Assaf Gerner, Netta Madvil, Nadav Barak +10
Despite advancements in grounded content generation, production Large Language Models (LLMs) based applications still suffer from hallucinated answers. We present "Grounded in Cont…
cs.LG2022★ 16 cited
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
Shir Chorev, Philip Tannor, Dan Ben Israel +7
This paper presents Deepchecks, a Python library for comprehensively validating machine learning models and data. Our goal is to provide an easy-to-use library comprising of many c…