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cs.CL2026
Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
Bui The Trung, Do Minh Duc, Nguyen Van Vinh +1
The democratization of ubiquitous AI hinges on deploying sophisticated reasoning capabilities on resource-constrained devices. However, Small Language Models (SLMs) often face a "r…
cs.CL2025
Auto-Prompting with Retrieval Guidance for Frame Detection in Logistics
Do Minh Duc, Quan Xuan Truong, Nguyen Tat Dat +1
Prompt engineering plays a critical role in adapting large language models (LLMs) to complex reasoning and labeling tasks without the need for extensive fine-tuning. In this paper,…
cs.CL2025
Using Large Language Models for education managements in Vietnamese with low resources
Duc Do Minh, Vinh Nguyen Van, Thang Dam Cong
Large language models (LLMs), such as GPT-4, Gemini 1.5, Claude 3.5 Sonnet, and Llama3, have demonstrated significant advancements in various NLP tasks since the release of ChatGPT…