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How Well Do Decision Models Transfer to Vietnamese? An Empirical Study of Text Classification

Paper recorded by Signals 4 on 2026-10-22 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CL · 自然语言处理 · first seen 2026-10-23

Abstract

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

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#173 most recent of 660 cs.CL papers we have recorded · ↑ newer: Multi-Token Prediction and Alternative Tokenization Improve Learning L · ↓ older: How Depth Growth and Looping Shape In-Context Learning in Language Mod
Cite this page: How Well Do Decision Models Transfer to Vietnamese? An Empirical Study of Text Classification: the #173 most recent of 660 cs.CL papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-well-do-decision-models-transfer-to-vietnamese-an-empirical-study-of-text-cl.html
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