Rahisa Bano

Intent-Aware Adaptive Trust Retrieval-Augmented Generation (IAT-RAG): A Framework for Trustworthy Document Question Answering Using Open-Source Large Language Models

The paper summarizes the evolution of the conversational AI, Transformer-based LLMs, and RAG architectures, provides an illustrative evaluation protocol and literature-based comparison, and summarizes comparative results which suggest that the IAT-RAG system should outperform all seven baselines on the tasks of citation accuracy and retrieval F1-score, particularly on multi-hop and comparative queries.