Author

Zian Ding

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Preprint Sep 2026

SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation

Multimodal large language models (MLLMs) have made strong progress on visual question answering and image captioning, yet they still produce fluent claims about objects, attributes, or relations that are not grounded in the image. Many remedies either modify decoding at test time, which adds latency, or fine tune with...

Zian Ding, Zi-Lin Zhao, Ying-Jie He et al. · 0 citations

Open access Aug 2026

Collaborative explainable ai for EEG mental health monitoring with constrained QA-Tuned LLM alignment

This study proposes a collaborative explainable AI framework for EEG mental health monitoring with constrained question-and-answer (QA) tuned LLM alignment, which builds a smooth transformation path from raw EEG signals to evidence, and constructs a structured QA dataset for the instruction fine-tuning of LLMs.

Zian Ding, Fu-Sen Guo, Bonan Zhang et al. · Journal of King Saud Univers... · 1 citation