Academic Profile

Please take a look at my Academic Resumé (updated in Oct 2024), Industrial 1-page CV (updated in Oct 2024), and my SoP (which I consider as my predoctoral research statement). For full description of my academic and industrial experience and extracurricular activities, please visit my LinkedIn page.

Selected Publications

For the full list of my publications with brief summaries, please refer to my Semantic Scholar. I published papers with the name Quyet V. Do. In the future, I will use the name Quyet Do.

• SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
  Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar et. al. including Quyet V. Do
  EMNLP 2024. [pdf].

• ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases
  Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song
  EACL 2024. [pdf] [code].

• A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
  Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, Pascale Fung
  AACL 2023, Area Chair Award. [pdf] [code].
  // First empirical study on ChatGPT

• PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population.
  Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong and Simon See
  Findings of EMNLP 2022. [pdf] [code].

Remark: * indicates equal contribution.

Independent Study

I have self-learned the following courses/series whose videos are available on Youtube, and also read some books. These are all amazing, and they significantly broaden my knowledge.

• Gregory L. Murphy - The Big Book of Concepts (reading)
• MIT - MIT 6.868J The Society of Mind, Fall 2011 (start, I need to learn the idea from Marvin Minsky because I believe that the idea will base the future NLP)
• Zero Knowledge Proofs - MOOC Spring 23 (interesting course, but not relevant to my current research. So …). Another Block Chain course
• Stanford - Human Behavioral Biology (not yet start)
• Wendy Wood - Good Habits, Bad Habits (finished in Sep 2023)
• Stanford - CS330 Deep Multi-Task and Meta Learning (finished Oct 2022)
• MIT - MIT 9.13 The Human Brain, Spring 2019 (finished in Sep 2022). Eventhough I only shallowly learned from this course, it really brings me the knowledge about our brain’s functionality and inspires me a lot on how should I structure an AI system
• Harvard - Justice: What’s The Right Thing To Do (finished in Jul 2022). This course gives me references to strengthen my reasoning system!
• Stanford - CS234 Reinforment Learning (finished in Jun 2022)
• Stanford - CS224w Machine Learning on Graph (finished in Feb 2022)
• PBS - The Vietnam War (finished in April 2020)
• Stanford - CS224n Natural Language Processing with Deep Learning (finished in Jun 2021)