Khai Loong Aw


Welcome! I am a Computer Science undergraduate at Singapore Management University.

I am currently a research intern at EPFL NLP Lab, studying the reasoning abilities of Large Language Models and how they relate to the human brain.

In 2022-2023, I worked with Mariya Toneva to bridge AI and Neuroscience. We used human brain activity recordings to study, interpret & improve language models.

In 2022, I worked with Qianru Sun on computer vision for semantic segmentation, using weakly-supervised and self-supervised learning algorithms. In 2021, I worked with David Lo and Hong Jin Kang on applying ML to identify software bugs using static analysis.

selected publications

  1. ICLRSpotlight
    Training language models to summarize narratives improves brain alignment
    Khai Loong Aw, and Mariya Toneva
    International Conference on Learning Representations (ICLR) 2023
  2. ICSE
    Detecting False Alarms from Automatic Static Analysis Tools: How Far are We?
    Hong Jin KangKhai Loong Aw, and David Lo
    International Conference on Software Engineering (ICSE) 2022