Junrong Guo — accepted AI-conference papers

2026

Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement

Junrong Guo, Shancheng Fang, Yadong Qu, Hongtao Xie

CVPR 2026

Recent advances in Multimodal Large Language Models (MLLMs) have enabled automated generation of structured layouts from natural language descriptions. Existing methods typically follow a code-only paradigm that generates code to represent layouts, which are then rendered by graphic engines to produ

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2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

ACL 2024findings

The rapid advancement of Large Language Models (LLMs) in the realm of mathematical reasoning necessitates comprehensive evaluations to gauge progress and inspire future directions. Existing assessments predominantly focus on problem-solving from the examinee perspective, overlooking a dual perspecti…

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