Graph-based retrieval-augmented generation (GraphRAG) leverages knowledge graphs to provide context for large language models (LLMs) to generate quality responses. Yet existing GraphRAG methods suffer from two drawbacks: connecting each entity to all passages that mention the entity causes one-to-many entity-passage ma...
Xin-Tong Hu, Qi-Ming Zeng, Yu-Hao Lin et al.· Transactions on Graph Intell...· 0 citations
Cloud-edge collaborative computing enables resource-constrained robots to leverage powerful cloudhosted models while retaining real-time on-device perception and control. Vision-Language Navigation in Continuous Environments (VLN-CE), which requires a robot to follow natural-language instructions through complex scenes...
Heng-Yi Yang, Yong Zhou, Shang Liu et al.· Fall Joint Computer Conferen...· 0 citations
Experiments show that LAUA substantially mitigates performance degradation under modality missingness across retrieval and regression tasks, attaining up to 20% relative improvement in MRR for retrieval and up to 24.3% relative improvement in MSE for regression.
Yi Wei, Xiaokai Zhou, Shanshan Feng et al.· Proceedings of the 32nd ACM...· 0 citations
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