2 papers
cs.CV2026
Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains
Garvin Guo, Donglei Yu, Yu Chen +6
Tool-augmented multimodal agents show strong benchmark gains, often taken as evidence that agents have learned to use tools. We argue that this interpretation can be premature: a t…
cs.CV2026
Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning
Garvin Guo, Yu Chen, Xiang Wang +4
Recent latent visual reasoning methods achieve substantial gains by inserting continuous latent tokens into multimodal language models. These gains are commonly attributed to the t…