2 citations · 4 across the 7 of their papers we have counts for
7 papers
Reactivating Test-Time Scaling for Plane Geometry Problem Solving
Xiaoqiang Kang, Shengen Wu, Maizhen Ning +5
Plane geometry problem (PGP) solving has become a critical benchmark for multimodal reasoning because it requires accurate visual perception and precise multi-step symbolic deducti…
Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control
Yiou Huang, Ning Ma, Weichu Zhao +4
Imitation learning (IL) has shown strong potential for contact-rich precision insertion tasks. However, its practical deployment is often hindered by covariate shift and the need f…
GeoSDF: Plane Geometry Diagram Synthesis via Signed Distance Field
Chengrui Zhang, Maizhen Ning, Tianyi Liu +4
Plane Geometry Diagram Synthesis has been a crucial task in computer graphics, with applications ranging from educational tools to AI-driven mathematical reasoning. Traditionally,…
DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model
Weiguang Zhang, Huangcheng Lu, Maizhen Ning +4
Document dewarping aims to rectify deformations in photographic document images, thus improving text readability, which has attracted much attention and made great progress, but it…
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
Zihao Zhou, Shudong Liu, Maizhen Ning +6
Exceptional mathematical reasoning ability is one of the key features that demonstrate the power of large language models (LLMs). How to comprehensively define and evaluate the mat…
A Symbolic Character-Aware Model for Solving Geometry Problems
Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang +1
AI has made significant progress in solving math problems, but geometry problems remain challenging due to their reliance on both text and diagrams. In the text description, symbol…
Learning by Analogy: Diverse Questions Generation in Math Word Problem
Zihao Zhou, Maizhen Ning, Qiufeng Wang +4
Solving math word problem (MWP) with AI techniques has recently made great progress with the success of deep neural networks (DNN), but it is far from being solved. We argue that t…