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Author

J. Holdcroft

2 papers indexed here

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Preprint Sep 2026

The Magnitude Mirage: Rethinking Confidence for Reasoning-Intensive Retrieval

A large-scale empirical study of six zero-cost Query Performance Prediction metrics makes them a practical zero-cost replacement for magnitude thresholding in deployed RAG systems, making them a practical zero-cost replacement for magnitude thresholding in deployed RAG systems.

J. Holdcroft, Abdelrahman Abdallah, Adam Jatowt · 1 citation
Preprint Aug 2026

Difficulty-Gated Fusion of Reasoning Views for Temporal Retrieval

This work proposes query-difficulty-gated fusion of reasoning views, a fused ranking that uses no relevance labels at inference, no re-ranking, and no fine-tuning of the retriever; the gate is trained leave-one-task-out.

J. Holdcroft, Abdelrahman Abdallah, Adam Jatowt · 0 citations

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