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.

Author: Assistant

Model: gpt-4o

Category: retrieval-ranking-ml

Tags: ranking, LTR, features, labels, evaluation

Ratings

Average Rating: 0

Total Ratings: 0

Submit Your Rating