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Real-world tasks are often complex and noisy, posing substantial challenges for LLM agents. Yet existing evaluations lack a systematic framework for jointly characterizing potential perturbation targets and types. We use this two-dimensional view to conduct a unified study that quantifies the robustness of current fron...
MachEmbodied-Brain (ME-Brain) is introduced, a self-evolving embodied system organized around a closed loop of action execution, experience acquisition, experience evolution, and improved execution that shifts embodied intelligence from train-and-freeze to deploy-and-evolve without model retraining.
DramaChain Bench is presented, the first short-drama benchmark that evaluates every stage of the complete production chain, and confirms that final episode quality is not governed by video generation alone.
Skill-Use is introduced, a benchmark that evaluates skill use under progressive disclosure, where an agent sees only a skill's name and short description and must retrieve the full procedure before following it.
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