Shunchi Zhang
Hi, I am Shunchi Zhang (张顺驰), a master's student in computer science at Johns Hopkins University.
Previously, I was a research intern at WeChat AI, mentored by Mo Yu.
Hi, I am Shunchi Zhang (张顺驰), a master's student in computer science at Johns Hopkins University.
Previously, I was a research intern at WeChat AI, mentored by Mo Yu.
* 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).
