An Vo

MS student @ Korea Advanced Institute of Science & Technology (KAIST)

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I am a second-year MS student at KAIST, working with Professor Daeyoung Kim and Professor Anh Totti Nguyen. My MS program is fully funded by Hyundai CMK Global Scholarship.

Prior to join KAIST, I obtained my BS degree as the valedictorian at University of Information Technology (UIT), Vietnam National University - Ho Chi Minh City (VNU-HCM) in 2023, where I worked with Dr. Ngoc Hoang Luong.

My research interests include bias, fairness, interpretability, evaluation & analysis, and other areas related to LLMs/VLMs. My works have been accepted at top venues: ICML, AAAI, GECCO, etc.

🎓 I am actively seeking PhD opportunities starting Fall 2026 to continue advancing research in, but not limited to, AI fairness, bias mitigation, interpretability, evaluation and analysis. If you believe I would be a good fit for your research group, please feel free to reach out at an.vo@kaist.ac.kr.

news

Jun 2025 One preprint on arXiv: VLMs are Biased
May 2025 One paper has been accepted to ICML 2025
Jan-May 2025 This year, I will serve as a reviewer for multiple AI venues: IEEE CEC 2025, IJCNN 2025, BMVC 2025, and IEEE Transactions on Evolutionary Computation (IF=11.7).
Dec 2024 One paper has been accepted to AAAI 2025
Mar 2024 One paper has been accepted to GEECO 2024
Jan 2024 One paper has been accepted to CEC 2024
Jan 2024 I have been admitted to the MS program at KAIST School of Computing for Spring 2024 and received the KAIST Scholarship. A new journey!
Jan 2024 I have been chosen as a scholar for the Hyundai CMK Global Scholarship 2024, a prestigious scholarship for top Southest Asian students
Jan 2024 This year, I will serve as a reviewer for IEEE CEC 2024
Jul 2023 One paper has been accepted to Informatica
Apr 2023 One paper has been accepted to GECCO 2023 (Late-breaking Abstract)
Oct-Dec 2022 One paper has been accepted to SoICT 2022 and has achieved Best Paper Award

Selected publications

View full list in publications

* indicates equal contribution.

  1. Vision Language Models are Biased
    An Vo*, Khai-Nguyen Nguyen*, Mohammad Reza Taesiri, Vy Tuong Dang, Anh Totti Nguyen†, Daeyoung Kim†
    Preprint 2025
    PDF Blog, Code & Data
  1. B-score: Detecting biases in large language models using response history
    An Vo, Mohammad Reza Taesiri, Daeyoung Kim, Anh Totti Nguyen
    In Internation Conference on Machine Learning (ICML), 2025
    PDF Blog, Code & Data
  1. Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
    Thao Do, Dinh Phu Tran, An Vo, Daeyoung Kim
    In Annual AAAI Conference on Artificial Intelligence (AAAI) , 2025
    PDF Code Dataset
  1. Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search
    An Vo, Ngoc Hoang Luong
    In Genetic and Evolutionary Computation Conference (GECCO) , 2024
    PDF Code
  2. Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search
    Nhat Minh Le*, An Vo*, Ngoc Hoang Luong
    In IEEE Congress on Evolutionary Computation (CEC) , 2024
    PDF
  3. Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics
    Ngoc Hoang Luong, Quan Minh Phan, An Vo, Tan Ngoc Pham, Dzung Tri Bui
    In Information Sciences , 2024
    PDF Code
  1. Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow
    Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong
    In Genetic and Evolutionary Computation Conference (GECCO Late-breaking Abstract) , 2023
    PDF Code
  1. Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow
    An Vo, Tan Ngoc Pham, Van Bich Nguyen, Ngoc Hoang Luong
    In International Symposium on Information and Communication Technology (SoICT) , 2022
    Best Paper Award
    PDF Code