While Large Language Models (LLMs) advance 3D indoor scene synthesis, current pipelines fail to retain user-specific preferences across sessions, making immersive authoring a repetitive and physically fatiguing process. We present SPHERE, an adaptive VR generation framework that transforms isolated synthesis into conti...
Hyeonmin Lee, Zheng Wei, Kyungmin Kwon et al.· 0 citations
Conversational recommender systems can exploit structured, collaborative, textual, and visual evidence, but fixed multimodal fusion cannot adapt evidence use to each dialogue. Building on MSCRS [24], we propose Query-Aware Multimodal Routing for Conversational Recommendation (QAMR-CRS), which predicts modality weights...
Hui-Ling Piao, Seoin Choi, Sokphea Young et al.· Proceedings of the 20th ACM...· 0 citations
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