2 papers
cs.CV2026
Beacon: Knowing When and How to Perform Agentic Visual Reasoning
Qixun Wang, Yang Shi, Letian Cheng +11
The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks. We rethink agentic visual reasoning th…
cs.AI2026
SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning
Letian Cheng, Qi Zhang, Yisen Wang
Latent world models have emerged as a powerful planning paradigm by learning action-conditioned predictive dynamics and using them as internal simulators to imagine and evaluate ca…