Hi, I am Shunchi Zhang (张顺驰), a master's student in computer science at Johns Hopkins University (JHU).
Previously, I interned at WeChat AI @ Tencent mentored by Mo Yu, and Microsoft Research Asia (MSRA) mentored by Zhuoyao Zhong.
I received my bachelor's degree in quantitative economics from Xi'an Jiaotong University (XJTU) in 2024, and had a great time at University of Wisconsin-Madison (UW Madison) as a visiting student in mathematics during Spring 2022.* indicates equal contribution
Under Review, 2024
We propose PhysiCo, a physical concept understanding benchmark to demonstrate the stochastic parrot phenomenon in (M)LLMs: they can describe and recognize physical concepts well in natural language, but fail to classify them in the form of grid representations.
ICML 2024 - International Conference on Machine Learning
We introduce ToM-in-AMC, a few-shot character understanding benchmark to assess machines' meta-learning ability of theory-of-mind (ToM) in a realistic narrative scenario. We propose ToMPro, a ToM-aware prompting method that improves both interpretability and performance.
ICDAR 2024 - International Conference on Document Analysis and Recognition
Oral Presentation
We propose DRFormer to detect contextual text blocks in natural scenes by framing the task as a graph generation problem, and jointly addresses text detection (nodes) and relation prediction (edges).
