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STaR: a soft-labeling and triplet-aware retriever for efficient retrieval-augmented QA

Jiali Jiang Chih-Yung Chang Youxi Li Tzu-Chia Huang Diptendu Sinha Roy
Aug 2026 · Multimedia Systems · Vol 32 · 0 citations · 51 references

TL;DR

This study proposes STaR, a novel retriever fine-tuning framework that integrates BM25 similarity graph-based soft labeling with a triplet similarity learning strategy based on Sentence-BERT (SBERT), and introduces a triplet-aware SBERT training architecture that explicitly models relative semantic distances between queries and candidate passages, significantly enhancing retrieval ranking precision and semantic robustness.

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