LEA uses rank-based linear dependence of layer-0 hidden states to attribute each response token to query, retrieved context, or internal knowledge, and distinguishes valid from generic retrieval with over 95% accuracy.
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
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LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
LEA uses rank-based linear dependence of layer-0 hidden states to attribute each response token to query, retrieved context, or internal knowledge, and distinguishes valid from generic retrieval with over 95% accuracy.