Towards Reliable Retrieval in RAG Systems for Large Legal Datasets Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically dependent on the accur...

Thrilled to share that our #TANGOProject
#BurcuSayin of #UniTrento paper “Towards Reliable Retrieval in RAG Systems for Large Legal Datasets” has been accepted to #NLLP2025, co-located with #EMNLP2025 in Suzhou 🇨🇳!

Read here: arxiv.org/abs/2510.06999