12 citations · 23 across the 8 of their papers we have counts for
3 papers · 1 filter
Action-Consequence Alignment for Reliable Planning and Self-Improving in Latent World Models
Jinping Wang1, Zhiqiang Gao, Xiantong Zhen +1
Latent world models learn to predict observed transitions, yet low prediction error alone does not guarantee reliable planning. Inspired by self tickling experiments in neuroscienc…
Beyond One-Step Accuracy: State-Affine Latent Transition for Reliable Visual Planning
Boyuan Zhang, Yingjun Du, Xiantong Zhen +1
Joint-embedding world models enable visual planning by learning action-conditioned dynamics in latent space. Yet they are commonly trained for one-step prediction on encoded states…
See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs
Yuqing Lei, Wenbo Lyu, Yingjun Du +3
Large Vision-Language Models (LVLMs) excel at multimodal tasks but remain prone to object hallucinations. Prior training-free remedies often uniformly strengthen visual signals, wh…