MuSID-KD: Multigranularity Knowledge Distillation for Generative Recommendation with Semantic IDs

arXiv:2610.35218 · cs.AI · Submitted 2026-10-26 · Read on arXiv

cs.AI

Submitted: 2026-10-26

Updated: 2026-10-26

Terminology

• Distillation — 1× in this paper · explained in 2 episodes
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 15 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems