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Direct preference optimization

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04:00

2026-06-26

arxiv.org

large-language-models

Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs

Researchers propose VIGIL, a reinforcement-learning post-training framework that reduces hallucinations in multimodal large language models by maximizing mutual information between visual input and ge…

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VIGIL 1 Multimodal large language models 1 Large language models 1 Reinforcement learning 1

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large language models 1 ai safety 1 ai research 1 machine learning 1