Publications

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Conference Papers


GN-TRVN: A Benchmark for Vietnamese Table Markdown Retrieval Task

Published in ICISN, 2025

This paper is about the A Benchmark for Vietnamese Table Markdown Retrieval Task.

Recommended citation: Pham, B.L., Hoang, Q.V., Luu, Q.T., Vo, T.T. (2026). GN-TRVN: A Benchmark for Vietnamese Table Markdown Retrieval Task. In: Thi Dieu Linh, N., Yu, S., Selamat, A., Tran, D.T. (eds) Proceedings of the Fifth International Conference on Intelligent Systems and Networks. ICISN 2025 2025. Lecture Notes in Networks and Systems, vol 1596. Springer, Singapore. https://doi.org/10.1007/978-981-95-1746-6_17
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VN-MTEB: Vietnamese Massive Text Embedding Benchmark

Published in Arvix, 2025

This paper is about the VN-MTEB

Recommended citation: @misc{pham2025vnmtebvietnamesemassivetext, title={VN-MTEB: Vietnamese Massive Text Embedding Benchmark}, author={Loc Pham and Tung Luu and Thu Vo and Minh Nguyen and Viet Hoang}, year={2025}, eprint={2507.21500}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2507.21500}, }
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GreenMind: A Next-Generation Vietnamese Large Language Model for Structured and Logical Reasoning

Published in Arvix, 2025

This paper is about technical detail of first Vietnamese LLM on Nvidia NIM

Recommended citation: @misc{tung2025greenmindnextgenerationvietnameselarge, title={GreenMind: A Next-Generation Vietnamese Large Language Model for Structured and Logical Reasoning}, author={Luu Quy Tung and Hoang Quoc Viet and Pham Bao Loc and Vo Trong Thu}, year={2025}, eprint={2504.16832}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2504.16832}, }
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An Approach to Hummed-tune and Song Sequences Matching

Published in FDSE, 2022

This paper is about the hummed tune searching for a song sequence. Similar to Google Search feature Hum to Search.

Recommended citation: Pham, B.L., Luong, H.H., Tran, T.P., Ngo, H.P., Nguyen, H.V., Nguyen, T. (2022). An Approach to Hummed-tune and Song Sequences Matching. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_49
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