From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation
cs.IR, cs.AI
Submitted: 2026-09-24
Updated: 2026-09-24
Code: https://github.com/YuFan-Microsoft/Retrieval-Grounded-CreditAssignment-for-Generative-Recommendation
Terminology
Sources
- GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
- TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning
- PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
- Implicit Reasoning for Large Language Model-based Generative Recommendation
- Session-based Recommendations with Recurrent Neural Networks
- Generative Reasoning Recommendation via LLMs
- OneRec-Think: In-Text Reasoning for Generative Recommendation
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- OneReason Technical Report
- LLM-Based User Personas for Recommendations at Scale
- Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation
- Qwen3 Technical Report
- SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
- DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation
- Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
- HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation
- Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
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