DeGRe: Dense-supervised Generative Reranking for Recommendation

arXiv:2605.25749 · cs.IR, cs.AI, cs.LG · Submitted 2026-05-25 · Read on arXiv

cs.IR, cs.AI, cs.LG

Submitted: 2026-05-25

Updated: 2026-09-24

Terminology

• AUC — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Core — 7× in this paper · explained in 2 episodes
• Distillation — 7× in this paper · explained in 2 episodes
• Credit assignment — 5× in this paper · explained in 3 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Group Layer Normalization — 1× in this paper
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 2 episodes

Sources

• Seq2Slate: Re-ranking and Slate Optimization with RNNs
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• Revisit Recommender System in the Permutation Prospective
• GRN: Generative Rerank Network for Context-wise Recommendation
• Neural Re-ranking in Multi-stage Recommender Systems: A Review
• GoalRank: Group-Relative Optimization for a Large Ranking Model

Related papers

• The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
• SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
• MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
• RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
• Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval
• UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG