Research

Scaling DPPs for RAG: Density Meets Diversity

Scaled determinantal point processes improve RAG retrieval quality by automatically balancing result density against diversity to reduce redundancy.

Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Research paper proposing scaled determinantal point processes (DPPs) for improving retrieval-augmented generation. The work balances density and diversity in retrieved results to enhance RAG system performance.

Read original at arXiv CS.LG (Machine Learning)

Align then Train: Efficient Retrieval Adapter Learning

Two-stage adapter training approach (align then train) reduces computational costs for retrieval-augmented systems through pre-alignment optimization.