About me

Hello! My name is Arthur (Haonan) Chen (陳皓楠). I’m a graduating student at the University of Waterloo.

My primary interest lies in helping language models produce reliable and trustworthy answers through techniques like retrieval augmentation. To that end, my research areas include:

• Neural Retrieval
• Question Answering (QA)
• Retrieval Augmented Generation (RAG)
• Multimodal Retrieval

Before diving deep into NLP and IR, I was inspired by career advice from Andrew Ng. He advocated for exploring a broad spectrum of topics (breadth) before specializing in one (depth). Following this guidance, I delved into areas like image signal processing (ISP) for low vision at Huawei Noah Ark’s Lab, dynamic sparse training (compression) at Cerebras Systems, and causal discovery at the University of Waterloo.

I’ve had the privilege to work under the guidance of Prof. John Zelek, Prof. Jimmy Lin, collaborate with Prof. Wenhu Chen

As I approach the completion of my undergraduate degree in April 2024, I’m actively seeking a PhD position in IR x NLP for Fall 2024.