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Author

Eugene Yang

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Book Open access Jul 2026

Clustering-Based Methods for Vector-Based Pseudo-Relevance Feedback

This work aims to explore how well vector-based pseudo relevance feedback can adapt to dense retrieval models when it is not feasible to use surface-form information to pick discriminating expansion tokens.

X. Velez, Andrew Yates, Eugene Yang et al. · 0 citations
Book Open access Jul 2026

Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations

This work investigates whether Learned Sparse Retrieval (LSR) can mitigate this backward compatibility issue, and explores lightweight query adaptation methods including ranking fusion, representation fusion, and minimal-training adapters to further improve compatibility.

Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen et al. · 0 citations

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