hierarchical representation 1large language models 1latent reasoning 1recommendation systems 1reinforcement learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
Hierarchical Latent Reasoning for LLM-based Recommendation
Peiyu Hu, Siying Gu, Weihai Lu +8
The paper introduces HiLaR, a framework that uses hierarchical latent reasoning and layer-aware reinforcement optimization to improve recommendation performance of large language m…
cs.IR2025
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
Peiyu Hu, Wayne Lu, Jia Wang
Cross-domain recommendation (CDR) is crucial for improving recommendation accuracy and generalization, yet traditional methods are often hindered by the reliance on shared user/ite…