Towards Multi-modal Multi-turn Safety: From Agentic Interaction to Strategic Alignment
This work introduces MINT-Safe, an open-source visual multi-turn training dataset comprising 11,270 multi-image dialogues and 500 refusal VQA pairs, and proposes TAD-Align, a dialogue safety alignment framework centered on a turn-aware dual-objective reward function.
Han Zhu, Jia-Le Chen, Chengkun Cai et al.
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