Author

Zhiyong Wang

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Jul 2026

Hierarchical Latent Reasoning for LLM-based Recommendation

To further optimize the reasoning trajectory, HiLaR combines final recommendation feedback with layer-aware process rewards derived from the marginal target-likelihood gain of each state, and generally outperforms strong sequential, generative, and LLM-based recommendation baselines.

Peiyu Hu, Siying Gu, Weihai Lu et al. · arXiv.org · 1 citation