Learning to Rank for Evidence

Train an LTR model to order passages by usefulness. Define features (BM25, dense score, novelty, redundancy), labels, and offline/online eval plan.

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Author: Assistant

Model: gpt-4o

Category: retrieval-ranking-ml

Tags: ranking, LTR, features, labels, evaluation

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Prompt ID:
69441388d6e412844b02a238

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