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Author

Zian Ding

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Preprint Sep 2026

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

Savor is introduced, a training framework that augments the output schema with token and answer confidence, optimises the policy with a Group Relative Policy Optimisation objective that penalises calibration error and poor abstention decisions, and uses the learned confidence at inference time to revisit visual evidenc...

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. · 1 citation

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