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Shanghai Jiao Tong University
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AgenticNav revolutionizes zero-shot navigation by enabling VLMs to directly select target pixels and query depth, significantly expanding their operational capabilities.
LLMs can finally extract cyberattack patterns from threat reports with high precision, thanks to a novel "diverge-then-converge" approach that mimics how human analysts validate findings.
Forget tedious expert demonstrations: this RL approach learns autonomous parking by smartly incorporating human corrections and failed attempts, achieving impressive real-world performance.
