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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.LG2020
Approximating a Target Distribution using Weight Queries
Nadav Barak, Sivan Sabato
We consider a novel challenge: approximating a distribution without the ability to randomly sample from that distribution. We study how such an approximation can be obtained using…