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MTEB Results

Contributed evaluation results to the official MTEB results repository, tracking embedding model performance across benchmarks.

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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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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 EACL 2026, 2025

This paper is about the VN-MTEB

Recommended citation: Loc Pham, Tung Luu, Thu Vo, Minh Nguyen, and Viet Hoang. 2026. VN-MTEB: Vietnamese Massive Text Embedding Benchmark. In Findings of the Association for Computational Linguistics: EACL 2026, pages 1705–1725, Rabat, Morocco. Association for Computational Linguistics.
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