MIMO: Multilingual Information Retrieval via Monolingual Objectives
Multilingual Information Retrieval (MLIR) reflects real-world search environments in which queries and relevant documents may appear in different languages within a mixed-language corpus. However, existing embedding models are primarily optimized for Multi-Monolingual retrieval and their performance often degrades in MLIR settings. Moreover, directly applying conventional contrastive learning to MLIR can exacerbate language clustering and expose a trade-off between cross-lingual alignment and em
Record details
Published: 29 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Environment
Retrieved: 14 July 2026
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ethics.ai (29 May 2026), “MIMO: Multilingual Information Retrieval via Monolingual Objectives,” evidence record 3436, https://ethics.ai/record/3436 (originally published by arXiv).
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