2 papers
cs.CL2026
CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
Hao Yang, Zhiyu Yang, Xupeng Zhang +3
Retrieval-augmented generation (RAG) has become a key paradigm for knowledge-intensive question answering. However, existing multi-hop RAG systems remain inefficient, as they alter…
cs.CV2026
InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams
Shuai Yuan, Yantai Yang, Xiaotian Yang +4
The grand vision of enabling persistent, large-scale 3D visual geometry understanding is shackled by the irreconcilable demands of scalability and long-term stability. While offlin…