LIBERO has emerged as a widely adopted benchmark for evaluating robotic manipulation policies. However, strong performance on LIBERO does not necessarily indicate robust embodied capabilities, as models may exploit benchmark-specific regularities rather than generalize to diverse operating conditions. In this work, we...
Xue-Yang Zhou, Yang-Ming Xu, Qian-Jiang Li et al.· 0 citations
Understanding and manipulating spatial relations is fundamental to AI systems that reason about physical environments and construct grounded world models. However, existing evaluations of multimodal large language models (MLLMs) for spatial reasoning rely predominantly on static question-answering (QA) over small-scale...
Zheng Ren, Yan-Ning Wang, Zi-Heng Huang et al.· 0 citations
Experiments on industrial fault diagnosis, enterprise analytics, and LLM-based multi-tool assistants show that the proposed method significantly reduces expensive component calls and end-to-end latency while maintaining high consistency and low incorrect-reuse rates.
Cheng Li, Jie-Xi Liu, Yi-Xuan Chen et al.· 0 citations
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