Papers with cross-lingual IR

2 papers
Unsupervised Cross-Lingual Representation Learning (P19-4)

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Challenge: a comprehensive survey of cutting-edge weakly-supervised and unsupervised cross-lingual word representations is presented .
Approach: This tutorial provides a comprehensive survey of recent work on weakly-supervised and unsupervised cross-lingual word representations.
Outcome: This tutorial provides a comprehensive survey of cutting-edge weakly-supervised and unsupervised word representations.
Evaluating Large Language Models for Cross-Lingual Retrieval (2025.findings-emnlp)

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Challenge: Large Language Models (LLMs) have been evaluated as second-stage reranking models for monolingual IR, but a systematic comparison is lacking for cross-lingual reranked IR.
Approach: They propose to use machine translation to evaluate rerankers in cross-lingual IR . they find that LLMs perform better than LLM-based reranked models .
Outcome: The proposed model improves cross-lingual IR but relies on machine translation for the first stage.

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