Wenhu Chen
Assistant Professor @ University of Waterloo
in-context learning
large language model
knowledge base question answering
few-shot
table reasoning
dialogue simulation
language model
3
presentations
SHORT BIO
Wenhu Chen has been an assistant professor at Computer Science Department in University of Waterloo and Vector Institute since 2022. He obtained Canada CIFAR AI Chair Award since 2022. He also works for Google Deepmind as a part-time research scientist since 2021. Before that, he obtained his PhD from University of California, Santa Barbara under the supervision of William Wang and Xifeng Yan. His research interest lies in natural language processing, deep learning and multimodal learning. He aims to design models to handle complex reasoning scenarios like math problem solving, structure knowledge grounding, etc. He is also interested in building more powerful multimodal models to bridge different modalities. He received best paper honorable mention in WACV 2021 and UCSB CS Outstanding Dissertation Award in 2021.
Presentations
Few-shot In-context Learning on Knowledge Base Question Answering
Tianle Li and 5 other authors
Large Language Models are few(1)-shot Table Reasoners
Wenhu Chen
Controllable Dialogue Simulation with In-context Learning
Zekun Li and 5 other authors