Papersby GlyphOptimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval research paper by ServiceNow, 2025
ServiceNow · Retrieval and data · Sep 30, 2025 · 0 citations · 4 upvotes · unverified
What it shows
A new training objective, MW loss, is introduced to improve retriever calibration and ranking quality by directly optimizing the Area under the ROC Curve (AUC), outperforming Contrastive Loss in retrieval-augmented generation tasks.
By Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard and 2 more · arXiv 2510.00137 · PDF
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
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- arXiv.org
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- 0, 0 influential · Semantic Scholar
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- 4 · Hugging Face
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