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cs.IR2024
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
Arshia Hemmat, Kianoosh Vadaei, Mohammad Hassan Heydari +1
This paper introduces an innovative approach using Retrieval-Augmented Generation (RAG) pipelines with Large Language Models (LLMs) to enhance information retrieval and query respo…
cs.LG2024
Context Awareness Gate For Retrieval Augmented Generation
Mohammad Hassan Heydari, Arshia Hemmat, Erfan Naman +1
Retrieval Augmented Generation (RAG) has emerged as a widely adopted approach to mitigate the limitations of large language models (LLMs) in answering domain-specific questions. Pr…