Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

ArXi:2505.24876v2 Announce Type: replace-cross Deep reasoning is fundamental for solving complex tasks, especially in vision-centric scenarios that demand sequential, multimodal understanding. However, existing benchmarks typically evaluate agents with fully synthetic, single-turn queries, limited visual modalities, and lack a framework to assess reasoning quality over multiple steps as required in real-world settings. To address this, we