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multimodal reasoning 1reinforcement learning 1self-judging 1tool use 1vision-language models 1

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cs.CV2026

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification

Haoqing Wang, Xingrun Xing, Wei Xia +2

FaithEyes proposes a multi‑agent framework where a vision‑language model judges its own tool calls to ensure they are useful, improving both accuracy and tool faithfulness on visua…

cs.CV2026

Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes

Jing Tan, Zhaoyang Zhang, Yantao Shen +6

We introduce Talk2Move, a reinforcement learning (RL) based diffusion framework for text-instructed spatial transformation of objects within scenes. Spatially manipulating objects…