Author

Le-Tian Cheng

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Jul 2026

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet inefficient reasoning paradigm. In this work, we rethink agentic visual reasoning through two key dimensions of tool us...

Qixun Wang, Yang Shi, Le-Tian Cheng et al. · arXiv.org · 0 citations

Jul 2026

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning

Experiments show that coupling latent subgoal decomposition with prior-conditioned action generation substantially improves long-horizon planning while preserving strong short-horizon performance.

Le-Tian Cheng, Qi Zhang, Yisen Wang · arXiv.org · 2 citations