Spatial intelligence, the capacity to represent and reason about physical space, underlies embodied perception and real-world visual understanding. Existing benchmarks probe it through spatial relations, perspective-taking, and mental modeling. What remains underexamined is whether a model can maintain a coherent scene...
Hui-Zi Cao, Guan-Yu Xu, Zhi-Xuan Liang et al.· 0 citations
Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities. However, enabling multimodal agents to continually acquire useful information from complex, heterogeneous multimodal data remains a signif...
Ming-Hao Guo, Qing-Yue Jiao, Xiu-Jin Liu et al.· 0 citations
Long-history recommenders often compress each user's history into a compact, candidate-independent memory that is cached and reused to score large candidate pools. We show that real user histories exhibit multi-scale semantic structure, with short-lived intent, medium-term interests, and long-term preferences coexistin...
Ming Yin, Sixun Dong, Yu-Dong Liu et al.· 0 citations
This work proposes NumDAE—a novel differential-aware decouple-then-synergize embedding framework for HNKGs that reconstruct numeric semantics based on the relational context to endow numeric entities with algebraic computability, effectively decoupling pure physical quantity from the entangled topological background.
Ming Yin, Neng Gao· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
