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Tung Le

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Open access Oct 2026

Fusing Visual and Textual Representations via Multi-layer Fusing Transformers for Vietnamese Visual Question Answering

In recent decades, artificial intelligence has made significant progress in understanding and interacting with images. One of the important applications of this technology is Visual Question Answering (VQA), a research field that requires computers to understand and answer questions about images in a natural manner. De...

Cong Phu Nguyen, Huy-Tien Nguyen, Tung Le · 0 citations
#artificial intelligence Preprint Aug 2026

rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining why one item fits better than another - rather than mapping history directly to a ranked list. This reasoning, however, is expensive to repe...

M. H. Nguyen, Tung Le, Huy-Tien Nguyen · 0 citations

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