arXiv Machine Learning August 6, 2026 By Atri Vivek Sharma, Brian Formento, Alessio Lomuscio

Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial Attacks

Read the original on arXiv Machine Learning →

arXiv:2608. 04286v1 Announce Type: cross Abstract: Large language models (LLMs) are often used in conjunction with external knowledge sources to improve their factual accuracy and decrease hallucinations, through methods such as Retrieval-Augmented Generation (RAG).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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