Phat Huu Ha, Nguyen Xuan Phuc, Nong Nhut Quy, Trinh Tran Tran, Nguyen Minh Triet, Dang Van Thin · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31422 · open-access PDF
전문화된 의사 결정 모델의 최근 진보는 제로 샷 분류의 가능성을 확대했지만, 베트남어에 대한 그들의 효과는 여전히 탐구되지 않았습니다.이 연구는 6 개의 작업 그룹에 걸쳐 13 개의 분류 설정에 걸쳐 4 개의 전문화 된 의사 결정 모델을 평가하여 제로 샷 성능, 라벨 설명 언어에 대한 민감성 및 베트남어 언어 변형에 대한 강력성을 검토합니다.
Machine translation (Meta M2M100); the English original follows.
Recent advances in specialized decision models have expanded the possibilities for zero-shot classification, yet their effectiveness on Vietnamese remains underexplored. This study evaluates four specialized decision models across 13 classification settings spanning six task groups, examining zero-shot performance, sensitivity to label-description language, and robustness to Vietnamese linguistic variations. The evaluation considers English, Vietnamese, and bilingual label descriptions, alongside common linguistic perturbations involving teencode, typographical errors, and diacritic removal. U
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