Author

Pingping Zhang

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#artificial intelligence Preprint Oct 2026

ChartBmkAgent: Harness-Governed Multi-Agent Construction of Chart QA Benchmarks from Sparse Error-Taxonomy Specifications

Multimodal large language models (MLLMs) advance rapidly, while conventional benchmark development lags behind, delaying investigation of newly observed capability gaps. Such investigation requires an expressive task format and an on-demand construction process: information-rich charts make chart question answering (Ch...

Lang-Xi Huang, Ping-Ping Zhang, Lan-Yun Zhu et al. · 0 citations

Preprint Aug 2026

Failure-Informed Image Self-Augmentation for Multimodal Large Language Model Self-Improvement

FISA is proposed, a framework for MLLM self-improvement that constructs augmented images from the model's own failure cases that generates visually challenging yet answer-preserving image complications, verifies their utility through self-examination, and applies dual fidelity filtering to avoid semantic distortion.

Chun-Yang Jiang, Pingping Zhang, Yuzhi Zhao et al. · 0 citations