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Articles by Hei Yi
Computer Science > Machine Learning
Low-bit quantization offers a promising avenue for reducing the computational and memory demands of Multimodal Large Language Models (MLLMs). Recent hardware support for low-precision formats, ranging from MXFP8 to ultra-low-bit formats such as MXFP4 and HiF4, has accelerated research into efficient MLLM training and deployment.
Computer Science > Machine Learning
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Low-Resource NMT: A Case Study on the Written and Spoken Languages in Hong Kong
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Factors influencing the inclusion of oral health education in individualized education plans of children with autism spectrum disorders in Singapore
Prevention of oral diseases in children with autism spectrum disorder (ASD) is possible via incorporation of oral health education (OHE) into individualized education plans. To assess (i) whether training can improve teachers’ oral heath knowledge, (ii) whether OHE is taught to children with ASD, and (iii) factors associated with teachers’ perceived barriers to the implementation of OHE. Teachers working in special schools were recruited.
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