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cs.GR2026
FootprintRAG: Visual Analytics for Evidence Context Refinement in RAG-based Scientific Literature Exploration
Xingyu Liu, Yu Dong, Qizhen Yu +7
Retrieval-Augmented Generation (RAG) is increasingly used to ground large language model (LLM) outputs in scientific literature. However, in open-ended literature exploration, the…
cs.GR2026
Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs
Guanghui Zhao, Zhe Wang, Yu Dong +2
Scientific visualization pipelines encode domain-specific procedural knowledge with strict execution dependencies, making their construction sensitive to missing stages, incorrect…
cs.MM2026
T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring
Zhuoyun Zheng, Yu Dong, Gaorong Liang +6
Generative models have substantially expanded video generation capabilities, yet practical thought-to-video creation remains a multi-stage, multi-modal, and decision-intensive proc…