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The Recall-Aware Evaluation Protocol (RAEP) is proposed: first classify the retrieval-recall regime, then evaluate reranking where the ceiling permits meaningful differentiation; in the low-recall regimes measured here, improving retrieval is more consequential than increasing reranker sophistication.
An empirical study of how post-training transforms weight-space geometry, covering eight configurations across four architecture families, identifies a granularity gap and builds LinkerLLM, a lazy loader that aliases shareable blocks across co-resident variants, achieving 18-48% GPU memory savings and enabling up to fi...
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