IEEE IKT 2024 Oral

Leveraging Retrieval-Augmented Generation for University Knowledge Retrieval

Arshia Hemmat, Kianoosh Vadaei, Mohammad Hassan Heydari, Afsaneh Fatemi

paperarxiv
Figure from Leveraging Retrieval-Augmented Generation for University Knowledge Retrieval

A two-stage Persian retrieval pipeline with in-domain models, released alongside UniversityQuestionBench.

A longer write-up of this work is on its way. Until then the paper and the code are the best place to look.