Team

This page contains most research attachments.

Research Attachments

 

At USC

  • Angela Wang, Research Intern

    • 2018-06 - 2018-09

    • Undergraduate student, University of California, Berkeley, USA,

    • Research on word representation learning and evaluation theory.

    • Publication: APSIPA TSIP

At NUS

  • Yan Xiao, Ph.D., Donghua University, China,

    • 2023-02 - 2024-02

    • Research on relation extraction from text

    • Publication: IEEE TNNLS

At I2R, A*STAR

  • Anh Thuc Nguyen, Research Intern

    • 2024-01 - 2024-05

    • Undergradute student from UNC Chapel Hill, USA

    • Work on question generation for MERaLiON project and evaluation dataset creation.

  • Ayrton San Joaquin, Research Associate

    • 2023-09 - 2024-08

    • DesCarte@CREATE, Singapore

    • Research on efficient training on large language models through gradient esitmation.

    • Publication: EMNLP 2024 Findings.

  • Ziyi Xu, Research Intern. Main Supervisor: Sun Shuo

    • 2024-07 - 2024-12

    • Master student, NUS, Singapore

    • Work on multimodal alignment data collection and filtering.

  • Yanchao Li, ACIS PhD Scholar. Main Supervisor: Nancy F. Chen

    • 2024-01 - 2028-01

    • Ph.D. Student, NTU, Singapore

    • Research on visual understanding

  • Jayden Lum, A*STAR Scholar Intern. Main Supervisor: Xunlong Zou

    • 2025-02 - 2025-04

    • Ngee Ann Polytechnic, Singapore

    • Work on data collection and processing

  • Tey Xue Cong, A*STAR Scholar Intern. Main Supervisor: Xunlong Zou

    • 2025-02 - 2025-04

    • Ngee Ann Polytechnic, Singapore

    • Work on data collection and processing

  • Yiming Gao, Research Intern

    • 2025-01 - 2025-05

    • Undergraduate, NTU, Singapore

    • Research on multimodal large language model

  • Pham The Binh Minh, Research Intern

    • 2025-01 - 2025-05

    • Undergraduate, NTU, Singapore,

    • Research on multimodal large language model

Project Team: NMLP - National Multimodal Large Language Models Programme

 

MERaLiON - AudioLLM (Data, Evaluation, Train)