Author

Jia Wang

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Preprint Sep 2026

AtomRec: Evolving Atomic Memory for Agentic Recommendation

Experiments show that \textsc{AtomRec} consistently outperforms state-of-the-art agentic and memory-augmented baselines, with around 8.5\% average relative improvement across metrics.

Pei-Yu Hu, Wei-Hai Lu, Si-Ying Gu et al. · 0 citations

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.

Pei-Yu Hu, Si-Ying Gu, Wei-Hai Lu et al. · arXiv.org · 1 citation