Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation 事件

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation arXiv:2605.27993v1 Announce Type: new Abstract: Object hallucination remains a primary obstacle to the reliable deployment of Multimodal Large Language Models (MLLMs). Current inference-time mitigation methods mainly assume hallucinations stem from visual neglect, steering models to enhance visual reliance. In contrast, our systematic interventions on multiple MLLMs show that pushing toward more visual