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RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation

Via ArXiv cs.AI
Wednesday, Aug 26, 2026 · 4:00AM
Summary

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, summary, typed record, or raw excerpt. We introduce RENDER, a benchmark control that fixe

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