Zilin Yu — accepted AI-conference papers

2026

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs

Haicheng Wang, Yuan Liu, Yikun Liu, Zhemeng Yu, Zhongyin Zhao, Yangxiu You +6

CVPR 2026

Multimodal Large Language Models (MLLMs) have recently demonstrated remarkable capabilities in cross-modal understanding and generation. However, the rapid growth of visual token sequences--especially in long-video and streaming scenarios--poses a major challenge to their scalability and real-world

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2025

POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You +5

EMNLP 2025

High-quality labeled data is essential for training accurate document conversion models, particularly in domains with complex formats such as tables, formulas, and multi-column text. However, manual annotation is both costly and time-consuming, while automatic labeling using existing models often la

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