Simple Linear Corrections for Compression in Late Interaction
Late-interaction (multi-vector) models represent documents using a set of token-level vectors, providing a middle ground between cross-encoders and dense encoders in terms of quality and cost of embedding. However, compared to the latter, the indices are costly to store and score. Pooling and pruning based compression techniques are deployed widely but deteriorate in quality noticeably with aggressive compression. We investigate whether a lightweight change to the scoring function can recover retrieval quality after document-vector compression. For each combination of encoder, compressor, and vector budget, we learn a global linear correction by distilling the uncompressed model's score d...
| Authors | Mihir Agarwal, Sabyasachi Basu, Viraj Agrawal |
|---|---|
| Primary category | cs.IR |
| Published | 9 October 2026 |
| Last updated at source | 9 October 2026 |
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