General-purpose embodied intelligence requires robots to coordinate diverse skills over long horizons, track task progress, and recover from failures. Specialist policies alone do not ensure task-level reliability, while powerful multimodal agents rely on costly reasoning and external experience that compact models str...
Xiaomi Embodied Intelligence Team Yuechen Luo, Chong He, Fang Li et al.· 0 citations
Reliable repository-level coding requires agents not only to generate correct code but also to preserve constraints and respond to tool feedback across long interactions. However, our diagnostic analysis shows that agents often fail to act on relevant information already available in context, while final Pass/Fail outc...
Yu-Jia Luo, Zhi-Yi Lai, Zi-Qi Miao et al.· 0 citations
Results distinguish functional success from constraint compliance, with failures concentrated in workflow ordering, tool-use discipline, and reporting, and substantial interactions between models and scaffolds.
Wen-Ya Zhu, Xin-Ping Lei, Zhi-Yi Lai et al.· 0 citations
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