A 0.6B multilingual reranker trained to prefer query-language documents over semantically equivalent other-language documents beats existing rerankers on language-coherence tests without collapsing general reranking quality.
Training of LLM -Based List-Wise Multilingual Reranker
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LAMAR: An Open Language-Aware Multilingual Alignment Reranker
A 0.6B multilingual reranker trained to prefer query-language documents over semantically equivalent other-language documents beats existing rerankers on language-coherence tests without collapsing general reranking quality.