RAG-NAROK: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-Specific Refutation

Retrieval augmented generation RAG systems have emerged as the dominant architecture for grounding large language model LLM outputs in verifiable external knowledge, yet their structural reliance on a dynamic retrieval pipeline introduces a largely unexplored class of adversarial vulnerability...

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Large Language Models LLMs have achieved remarkable success across a wide range of applications. However, individual LLMs often produce inconsistent, biased, or hallucinated outputs due to limitations in their training corpora and model architectures. Recently, collaborative frameworks such as th...