The authors built a Visual Workspace for sandboxed vision-language model agents.
Bounded visual workspaces improve multimodal agents’ accuracy and efficiency
A training-free workspace lets vision-language models retain selected visual evidence while discarding less useful intermediate images.
Research Lab
Hexiong Yang · Mingrui Chen · Jie Cao · Ran He
NLPR&MAIS · Institute of Automation, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Zhongguancun Academy
Research Digest··2 min read
Yang et al.
Why this paper
From Institute of Automation, Chinese Academy of Sciences and 3 others · Part of Memory Management for Agents, now 37 papers
In one line
A visual workspace that manages generated artifact state improves accuracy and reduces tokens for sandboxed VLM agents.
What we could check
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