Papers by Fred Philippy

3 papers
LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings (2025.coling-main)

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Challenge: Sentence embedding models are limited for many low-resource languages, including Luxembourgish.
Approach: They propose to use Luxembourgish as an enhanced sentence embedding model with strong cross-lingual capabilities to address this issue.
Outcome: The proposed model can embed Luxembourgish sentences better than high-resource languages.
ltzGLUE: Luxembourgish General Language Understanding Evaluation (2026.findings-acl)

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Challenge: ltzGLUE is the first official NLU benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English.
Approach: They propose a new natural language understanding (NLU) benchmark for Luxembourgish based on the popular GLUE benchmark for English.
Outcome: The proposed model performs well across many languages and is based on the GLUE benchmark for English.
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review (2023.acl-long)

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Challenge: Pre-trained Multilingual Language Models have shown a strong ability to transfer knowledge across languages.
Approach: They examine factors contributing to the ability of MLLMs to perform zero-shot cross-lingual transfer . they identify consensuses among studies with consistent findings and resolve conflicts .
Outcome: The authors outline and discuss factors that contribute to the ability of MLLMs to perform zero-shot cross-lingual transfer.

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