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REALM: Smarter, Faster, and More Reliable Document Re-Ranking
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Workflow of recursive relevance modeling framework for LLM-based document re-ranking
Invention Summary:
Most Large Language Model LLM-based re-rankers produce single-point relevance scores without modeling uncertainty, even though LLM outputs are inherently stochastic. Treating these predictions as deterministic...
Published: 3/27/2026
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Inventor(s): Pinhuan Wang, Hang Liu
Keywords(s):
Category(s): Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
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