Papers by Jianzhe Ma
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering (2026.acl-long)
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| Challenge: | Existing chart understanding benchmarks are overwhelmingly English-centric, limiting their accessibility and relevance to global audiences. |
| Approach: | They propose a multilingual chart question answering benchmark that enables efficient multilingual generation via data translation and code reuse. |
| Outcome: | The proposed benchmark systematically evaluates multilingual chart understanding on state-of-the-art LVLMs and shows a significant performance gap between English and other languages. |
A Survey of Deep Learning for Geometry Problem Solving (2026.acl-long)
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| Challenge: | Recent surge in deep learning technologies has significantly accelerated research in this area. |
| Approach: | They propose a comprehensive summary of the relevant tasks in geometry problem solving and a review of related deep learning methods. |
| Outcome: | The proposed method is based on a systematic review of related methods and evaluation metrics and methods. |
A Survey of Large Models in Sports (2026.findings-acl)
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| Challenge: | Increasing interest in sports has led to the rapid advancement of large models, particularly multimodal large language models (MLLMs) . linguistic intelligence is a key component of large-model-driven sports intelligence . |
| Approach: | They propose to establish a foundation for advancing research and practical development of large-model-driven sports intelligence. |
| Outcome: | The proposed model-driven sports intelligence will be able to process and generate sports-related language effectively and process multiple data modalities. |