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Beacon: Knowing When and How to Perform Agentic Visual Reasoning

48 upvotes · 30 JUL 2026 · Qixun Wang, Yang Shi, Letian Cheng et al.

This paper proposes a new approach to agentic visual reasoning, which helps large language models (LLMs) perform better on complex tasks by using tools more efficiently. Practitioners might care about this research because it aims to improve the performance of LLMs on challenging problems.

agentic visual reasoningmultimodal large language modelstool usemode adaptivenesstool effectreinforcement learning