Author

Kai-Xin Ma

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Preprint Sep 2026

MintAct: A Unified Visual Agent for Digital Environments

We present MintAct, a family of vision-language models that unifies UI grounding, multi-step navigation across mobile, desktop, and web, and visual tool use, trained at 2B, 4B, and 8B scales. Through careful design of our environments, data, and training recipes, MintAct models match the performance of per-domain speci...

Ming-Fei Gao, Rui Tian, Hai-Ming Gang et al. · 0 citations

Preprint Jul 2026

MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents

Evaluating 12 state-of-the-art models, from 4B open-weight to frontier proprietary systems, shows that current models still lack robust visual tool-calling capability: even the best model achieves below 50% success rate, suggesting fundamentally different research directions for improving models at different capability...

Kaixin Ma, Di Feng, Alexander Metz et al. · 0 citations