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Research questionHow can we measure saturation of repeated LLM recommendations without fixed rosters masking new brands and sources?Identical prompts can continue producing previously unseen organizations and cited domains, making apparent saturation dependent on retrieval and extraction choices. Restricting measurement to a predefined candidate roster can create flat diversity curves even when open-ended responses keep adding entities.
AI
Evaluation & Benchmarks
Information Retrieval
Natural Language Processing
Latest papersRecent research connected to this question, newest first.Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its SourcesThe evidence covers 50 buying questions sent 15 times to six engines, with open extraction over 1,470 adjudicated organizations; four deeper cells extend to 24 runs. It compares five engines without web search with one retrieval-enabled engine and examines brands, cited domains, and fixed-roster versus open extraction using rarefaction and Chao2 estimates.research paper · Sep 4, 2026
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