anomaly detection 1failure attribution 1LLM agents 1neural controlled differential equations 1one-class learning 1
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cs.CL2026
DECOR: Auditing LLM Deception via Information Manipulation Theory
Linyue Cai, Samuel Yeh, Jwala Dhamala +2
Large language models can deceive by subtly manipulating truthful information -- omitting key facts, shifting focus, or obscuring meaning -- making such behavior difficult to detec…
cs.CL2026
How Retrieved Context Shapes Internal Representations in RAG
Samuel Yeh, Sharon Li
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by conditioning generation on retrieved external documents, but the effect of retrieved context is often…