16 citations · 17 across the 3 of their papers we have counts for
3 papers
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.SD2023★ 1 cited
Soundbay: Deep Learning Framework for Marine Mammals and Bioacoustic Research
Noam Bressler, Michael Faran, Amit Galor +3
This paper presents Soundbay, an open-source Python framework that allows bio-acoustics and machine learning researchers to implement and utilize deep learning-based algorithms for…
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…