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DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education

Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.AI · 人工智能 · first seen 2026-09-28

Abstract

AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two obvious paths both fall short. Cloud assistants such as ChatGPT route sensitive student data to foreign servers---violating data-sovereignty laws such as Vietnam's Decree 53---and, pre-trained on Western-centric corpora, are not organized around the national textbook curriculum, so

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#6 most recent of 420 cs.AI papers we have recorded · ↑ newer: Adapting for AI: How elementary teachers adjust their practices for an · ↓ older: Multi-agent Scaling Across Disjunctive and Compensatory Tasks
Cite this page: DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education: the #6 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/deepedu-v1-efficient-and-scalable-agentic-llms-for-vietnamese-education.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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