RENDER: Controlling reader-facing evidence in LLM memory evaluation
Read the original at arxiv.org→arXiv:2608.23568v1 Announce Type: new Abstract: Memory and RAG evaluations often treat the answering model's input as an implementation detail, even though systems may render the same history as a memory entry,...
Original headline: "RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation"
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- Aug 26, 04:00 UTC arXiv cs.AI lead source RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation