Zekai Shao

According to our database, Zekai Shao authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models.

Fen Wang, Zekai Shao, Qiman Kang, Chunran Hu, Zhixuan Zhang, Lexu Xie, Chao Liu, Siming Chen

CoRR, May, 2026

From logπ to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight.

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Chaowen Hu, Cong Qin, Zekai Shao, Binbin Zheng, Lu Pan, Ke Zeng

CoRR, March, 2026

NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom.

Yi Shan, Yixuan He, Zekai Shao, Kai Xu, Siming Chen

Proceedings of the 19th IEEE Pacific Visualization Conference, 2026

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning.

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

From łog π to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight.

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Chaowen Hu, Cong Qin, Zekai Shao, Binbin Zheng, Lu Pan, Ke Zeng

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Narrative Player: Reviving Data Narratives With Visuals.

Zekai Shao, Leixian Shen, Haotian Li, Yi Shan, Huamin Qu, Yun Wang, Siming Chen

IEEE Trans. Vis. Comput. Graph., October, 2025

ChartInsighter: An Approach for Mitigating Hallucination in Time-Series Chart Summary Generation With a Benchmark Dataset.

Fen Wang, Bomiao Wang, Xueli Shu, Zhen Liu, Zekai Shao, Chao Liu, Siming Chen

IEEE Trans. Vis. Comput. Graph., June, 2025

LEVA: Using Large Language Models to Enhance Visual Analytics.

Yuheng Zhao, Yixing Zhang, Yu Zhang, Xinyi Zhao, Junjie Wang, Zekai Shao, Cagatay Turkay, Siming Chen

IEEE Trans. Vis. Comput. Graph., March, 2025

Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education.

Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chiokit Leong, Yi Sun, Rory James Zauner, Zhongyu Wei, Siming Chen

IEEE Trans. Vis. Comput. Graph., January, 2025

Do Language Model Agents Align With Humans in Rating Visualizations? An Empirical Study.

Zekai Shao, Yi Shan, Yixuan He, Yuxuan Yao, Junhong Wang, Xiaolong Zhang, Yu Zhang, Siming Chen

IEEE Computer Graphics and Applications, 2025

Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice?

Zekai Shao, Siyu Yuan, Lin Gao, Yixuan He, Deqing Yang, Siming Chen

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Visual Explanation for Open-Domain Question Answering With BERT.

Zekai Shao, Shuran Sun, Yuheng Zhao, Siyuan Wang, Zhongyu Wei, Tao Gui, Cagatay Turkay, Siming Chen

IEEE Trans. Vis. Comput. Graph., July, 2024

TransforLearn: Interactive Visual Tutorial for the Transformer Model.

Lin Gao, Zekai Shao, Ziqin Luo, Haibo Hu, Cagatay Turkay, Siming Chen

IEEE Trans. Vis. Comput. Graph., January, 2024

Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education.

Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chiokit Ieong, Yi Sun, Rory James Zauner, Zhongyu Wei, Siming Chen

CoRR, 2024

VADITA: Visual Analytics for Detecting Illegal Transport Activities.

Yi Shan, Aolin Guo, Zekai Shao, Tian Qiu, Xueli Shu, Qianhui Li, Siming Chen

Proceedings of the IEEE Visual Analytics Science and Technology, 2024

Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach.

Yi Sun, Zekai Shao, Xingyu Qiu, Yun Li, Ting Liu, Linbing Xiang, Dong Sun, Siming Chen

Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2023