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Siyi Cheng

2 accepted papers

2025

AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents

ACL 2025long

Autonomous agents have become increasingly important for interacting with the real world. Android agents, in particular, have been a frequently-mentioned interaction method. However, existing studies for training and evaluating Android agents lack systematic research on both open-source and closed-s…

2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

ICLR 2025poster

Large Multimodal Models (LMMs) have ushered in a new era in artificial intelligence, merging capabilities in both language and vision to form highly capable \textbf{Visual Foundation Agents} that are postulated to excel across a myriad of tasks. However, existing benchmarks fail to sufficiently chal…