B Evidence Grade B Graded under review Safe to Cite Recent

25%

25% -- preference flip rate for LLM-based rerankers (2025)

2025  · resollm.ai

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Attribution: resollm.ai View source
Lighthouse Research Team
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Source verified Evidence graded
Value
25%
Unit
Percentage
Data Vintage
2025
Entity
LLM-based rerankers
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
resollm.ai Primary Tier B
https://resollm.ai/blog/do-llms-favor-recent-content/ ↗
Confidence: 53/100 Vintage: 2025 Channel: Deep Crawl
Source Article
Do Large Language Models Favor Recent Content?
Two search results that say the same thing. Same wording. Same meaning. The only difference is that one looks “newer” because it has a recent-looking date at the top. Researchers recently tested whether that single cue is enough to sway large language models. They took identical passages and changed…
Original Research
resollm.ai · Original study ↗

Side-by-side pairwise relevance tests with identical passages differing only in date

Methodology documented
Industrymarketing
Plain Text
LLM-based rerankers: 25% preference flip rate. Source: resollm.ai (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/llm-preference-flip-25-percent
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<blockquote cite="https://lighthousedata.io/data/llm-preference-flip-25-percent" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>25%</strong> -- preference flip rate for LLM-based rerankers<br><small>Source: resollm.ai (2025) · <a href="https://lighthousedata.io/data/llm-preference-flip-25-percent" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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