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Finding the Right Balance: Relevance and Diversity in LLM Retrieval
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
A study on LLM retrieval finds diversification benefits depend on candidate-pool redundancy and distinct evidence needed per query.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 8 October 2026
- Collected by OneBench
- 9 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.09412v1 Announce Type: cross Abstract: Retrieval diversification is widely available in retrieval-augmented generation (RAG) frameworks, yet prior studies disagree on whether it improves retrieval and…
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