Existing IR/LLM/VLM methods for in-situ item labels in immersive CRS fail on modality use, visual redundancy, and proactive needs under new explicit-vs-proactive evaluation metrics.
InAdvances in Neural Information Processing Systems 31 (NIPS 2018)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
Existing IR/LLM/VLM methods for in-situ item labels in immersive CRS fail on modality use, visual redundancy, and proactive needs under new explicit-vs-proactive evaluation metrics.