4 papers
Model-Free Disturbance Observer with Online Modification: Listening to MFDOOM
Nadav Barak, Christian Grussler
Data-Enabled Predictive Control (DeePC) has recently emerged as a framework for controlling unknown systems from data. However, its performance relies on the relevance of the colle…
Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)
Assaf Gerner, Netta Madvil, Nadav Barak +11
Large Language Models (LLMs) augmented with Retrieval-Augmented Generation (RAG) techniques are revolutionizing applications across multiple domains, such as healthcare, finance, a…
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…
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…