arXiv Artificial Intelligence

Query-aware routing for Cross-lingual performance gains in Encoders

1 hour ago 05.10.2026 07:00 👁 1 views
Query-aware routing for Cross-lingual performance gains in Encoders

Quick summary

arXiv:2610.02875v1 Announce Type: cross Abstract: Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language performance. We investigate whether Finnish and Swedish cross-lingual retrieval can improve while preserving an encoder's existing same-language performance and document index. We combine a query-only low-rank adapter, trained against frozen document embeddings, with deterministic routing based on query and index languages. Cross-language queries use the adapter, while same-language queries use t

Key takeaways

  • arXiv:2610.02875v1 Announce Type: cross Abstract: Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language performance.
  • We investigate whether Finnish and Swedish cross-lingual retrieval can improve while preserving an encoder's existing same-language performance and document index.
  • We combine a query-only low-rank adapter, trained against frozen document embeddings, with deterministic routing based on query and index languages.

Why it matters

The importance of “Query-aware routing for Cross-lingual performance gains in Encoders” will be measured by what changes in practice. User behavior, access conditions, verifiable performance and responsible-use outcomes are the signals worth following.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗