CDS4RAG cyclically optimizes full RAG hyperparameters by distinguishing and alternating between retriever and generator components, boosting performance up to 1.54x over prior methods on benchmarks.
An analysis of hyper-parameter optimiza- tion methods for retrieval augmented generation.CoRR, abs/2505.03452
2 Pith papers cite this work. Polarity classification is still indexing.
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CAMI frames multi-index construction for semantic retrieval as a budgeted multi-objective portfolio problem and uses agent-guided search plus confidence-aware pruning to find high-recall configurations with reduced evaluation cost.
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CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG
CDS4RAG cyclically optimizes full RAG hyperparameters by distinguishing and alternating between retriever and generator components, boosting performance up to 1.54x over prior methods on benchmarks.
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CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval
CAMI frames multi-index construction for semantic retrieval as a budgeted multi-objective portfolio problem and uses agent-guided search plus confidence-aware pruning to find high-recall configurations with reduced evaluation cost.