Modern reasoning CAPTCHAs require fine-grained perception, compositional relation reasoning, and grounded browser interaction. End-to-end vision-language model agents remain brittle in this setting because a missed object, incorrect count, or confused relation can propagate directly to the final action. To address this...
Shang-Quan Sun, Ruo-Yu Chen, Zhi-Rui Liu et al.· 0 citations
Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime. Existing skill scanners inspect documentation and visible source, but Python may execute a bundled bytecode cache with different behavior. We study this gap between inspection and execution through PyC...
Jie Liao, Si-Meng Qin, Wen-Qi Ren et al.· 0 citations
Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task planning, and real-world execution. We characterize this emerging paradigm as an agentic robots, in which agents reason over human ins...
Chonghan Qin, Dong-Ming Wu, Kai-Tuo Feng et al.· 2 citations
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