Xuanle Zhao

According to our database, Xuanle Zhao authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding.

Xuanle Zhao, Xinyuan Cai, Xiang Cheng, Xiuyi Chen, Bo Xu

CoRR, April, 2026

OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward.

Haoyue Yang, Xuanle Zhao, Xuexin Liu, Feibang Jiang, Yao Zhu

CoRR, April, 2026

TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution.

Deyang Jiang, Jing Huang, Xuanle Zhao, Lei Chen, Liming Zheng, Fanfan Liu, Haibo Qiu, Peng Shi, Zhixiong Zeng

CoRR, February, 2026

OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models.

Yufeng Zhong, Lei Chen, Xuanle Zhao, Wenkang Han, Liming Zheng, Jing Huang, Deyang Jiang, Yilin Cao, Lin Ma, Zhixiong Zeng

CoRR, January, 2026

Reading or Reasoning? Format Decoupled Reinforcement Learning for Document OCR.

Yufeng Zhong, Lei Chen, Zhixiong Zeng, Xuanle Zhao, Deyang Jiang, Liming Zheng, Jing Huang, Haibo Qiu, Peng Shi, Siqi Yang, Lin Ma

CoRR, January, 2026

TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks.

Xuanle Zhao, Shuxin Zeng, Xinyuan Cai, Xiang Cheng, Duzhen Zhang, Xiuyi Chen, Bo Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks.

Xuanle Zhao, Shuxin Zeng, Yinyuan Cai, Xiang Cheng, Duzhen Zhang, Xiuyi Chen, Bo Xu

CoRR, November, 2025

Automating Hardware Design and Verification from Architectural Papers via a Neural-Symbolic Graph Framework.

Haoyue Yang, Xuanle Zhao, Yujie Liu, Zhuojun Zou, Kailin Lyu, Changchun Zhou, Yao Zhu, Jie Hao

CoRR, November, 2025

VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning.

Xuanle Zhao, Deyang Jiang, Zhixiong Zeng, Lei Chen, Haibo Qiu, Jing Huang, Yufeng Zhong, Liming Zheng, Yilin Cao, Lin Ma

CoRR, November, 2025

Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation.

Lei Chen, Xuanle Zhao, Zhixiong Zeng, Jing Huang, Liming Zheng, Yufeng Zhong, Lin Ma

CoRR, August, 2025

Revisiting Continual Semantic Segmentation with Pre-trained Vision Models.

Duzhen Zhang, Yong Ren, Wei Cong, Junhao Zheng, Qiaoyi Su, Shuncheng Jia, Zhong-Zhi Li, Xuanle Zhao, Ye Bai, Feilong Chen, Qi Tian, Tielin Zhang

CoRR, August, 2025

Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner.

Lei Chen, Xuanle Zhao, Zhixiong Zeng, Jing Huang, Yufeng Zhong, Lin Ma

CoRR, July, 2025

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage.

Xuanle Zhao, Zilin Sang, Yuxuan Li, Qi Shi, Weilun Zhao, Shuo Wang, Duzhen Zhang, Xu Han, Zhiyuan Liu, Maosong Sun

CoRR, May, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Wanxiang Che, Zhiyuan Liu, Maosong Sun

CoRR, January, 2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing.

Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Progressive LoRA for Multimodal Continual Instruction Tuning.

Yahan Yu, Duzhen Zhang, Yong Ren, Xuanle Zhao, Xiuyi Chen, Chenhui Chu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks.

Xuanle Zhao, Yue Sun, Tielin Zhang, Bo Xu

CoRR, 2024

2023

Local Convolution Enhanced Global Fourier Neural Operator For Multiscale Dynamic Spaces Prediction.

Xuanle Zhao, Yue Sun, Tielin Zhang, Bo Xu

CoRR, 2023

ODE-based Recurrent Model-free Reinforcement Learning for POMDPs.

Xuanle Zhao, Duzhen Zhang, Liyuan Han, Tielin Zhang, Bo Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023