While Mamba-based models have shown strong potential for long sequence modeling, adapting them to vision is challenging due to the requirement of local neighborhood correlations and multi-directional spatial contexts for visual understanding. In this paper, we present LiAuto-MindViT, a novel hybrid vision backbone that...
The introduction of ChainSpace, a chained-reasoning paradigm that structures spatial reasoning as a state-preserving multi-round process, is introduced as an effective paradigm for more faithful evaluation and more data-efficient learning of spatial intelligence.
Xiao-Han Zhang, Feng Gu, Xudong Rao et al.· 0 citations
ParaIntent is introduced, a Chinese benchmark comprising 14 intent categories with balanced explicit and implicit samples, together with a multidimensional evaluation protocol covering intent fulfillment, response quality, and emotional expression, which improves over standard GRPO on most automatic metrics and achieve...
Xiangning Lin, Tian-Hao Zhang, Chunfeng Wang et al.· 1 citation
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