Belief-Aware VLM Model for Human-like Reasoning 事件

Belief-Aware VLM Model for Human-like Reasoning arXiv:2604.09686v2 Announce Type: replace-cross Abstract: Traditional neural network models for intent inference rely heavily on observable states and struggle to generalize across diverse tasks and dynamic environments. Recent advances in Vision Language Models (VLMs) and Vision Language Action (VLA) models introduce common-sense reasoning through large-scale multimodal pretraining, enabling zero-shot performance across tasks. However, these mode