Author

Yi-Cheng He

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Preprint Nov 2026

UniMore: Fine-Grained Supervision for Unified Understanding and Generation

Unified multimodal models combine image understanding and generation within one system, creating an opportunity to improve both capabilities through paired image--text supervision. We examine the outputs of a pretrained unified model in both directions and observe a loss of specificity: generated images can contain the...

Hao-Yue Bai, Yin-Yi Luo, Yi-Cheng He et al. · 0 citations

#machine learning Preprint Oct 2026

Reinforcement Learning Done Right for Explicit Confidence Targets

Large language models (LLMs) can produce plausible but incorrect answers when they are uncertain, which can mislead users and undermine model reliability. Training models to abstain with reinforcement learning is a natural approach, but most existing methods use a fixed error penalty and therefore cannot adapt their be...

Ze-Feng He, Yi-Cheng He, Yuan Lin et al. · 0 citations

VisPlay : Self-Evolving Vision-Language Models

VisPlay is introduced, a self-evolving RL framework that enables VLMs to autonomously improve their reasoning capabilities from massive unlabeled image data and establishes a scalable path toward self-evolving multimodal intelligence.

Yicheng He, Chengsong Huang, Zongxia Li et al. · 0 citations