DMICF models interactions from user- and item-centric perspectives with a macro-micro prototype-aware variational encoder and dimension-wise intent alignment to improve collaborative filtering.
A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review
2 Pith papers cite this work. Polarity classification is still indexing.
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Individual adaptive delegation-verification strategies aggregate via three extrapolation principles into sociotechnical lock-in modeled as a prisoner's dilemma that degrades epistemic standards unless mitigated by communicative standards and institutional norms.
citing papers explorer
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Dual-Perspective Disentangled Multi-Intent Alignment for Enhanced Collaborative Filtering
DMICF models interactions from user- and item-centric perspectives with a macro-micro prototype-aware variational encoder and dimension-wise intent alignment to improve collaborative filtering.
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The Human-AI Delegation-Verification Dilemma: Individual Strategies, Collective Equilibria and Sociotechnical Lock-in
Individual adaptive delegation-verification strategies aggregate via three extrapolation principles into sociotechnical lock-in modeled as a prisoner's dilemma that degrades epistemic standards unless mitigated by communicative standards and institutional norms.