Papers by Phuong-Anh Nguyen-Le

2 papers
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation (2026.eacl-long)

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Challenge: Existing approaches to machine translation (MT) systems degrade when faced with code-mixed text.
Approach: They propose a system that can augment Vietnamese-English code-mixed text with iterative fine-tuning and targeted filtering.
Outcome: The proposed framework outperforms strong back-translation baselines and improves zero-shot models by up to +11.9 points.
‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ? (2025.emnlp-main)

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Challenge: Large Language Models are increasingly involved in high-stakes domains, yet how they reason about socially sensitive decisions remains underexplored.
Approach: They propose a dual-process audit framework to probe LLMs’ reasoning behaviors in sensitive applications using a synthetic dataset of 30,000 applicant profiles grounded in real-world correlations.
Outcome: The proposed framework exploits a synthetic dataset of 30,000 applicant profiles grounded in real-world correlations to probe LLMs' reasoning behaviors in sensitive applications.

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