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Harbin Institute of Technology
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Language sensitivity in VLA models is a step-wise control problem, with certain task steps causing up to 50% performance degradation under non-English instructions.
Current multimodal agents are surprisingly bad at research workflows, struggling to integrate evidence across papers and figures in multi-turn settings.
MiroFlow leapfrogs existing LLM agent frameworks with its agent graph architecture, delivering state-of-the-art performance and robust execution across a diverse range of benchmarks.
