Author

Zhi-Ying Tu

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Preprint Aug 2026

History-Conditioned Joint-Prefix Alignment for Generative Recommendation

Prefix Alignment with Temporal History (PATH), which aggregates transition statistics from the training corpus over recent interactions with exponential decay to construct history-conditioned two-token prefix targets, is proposed, showing consistent improvements in recommendation performance and higher full-SID surviva...

Hong-Liang Sun, Lian-Jie Li, Bolin Zhang et al. · 1 citation

#artificial intelligence Preprint Aug 2026

TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment

Temporal Autoregressive Alignment (TAAL) is proposed, which improves NDCG@10 over the standard baseline by 39.5%, and aligns the early-prefix distribution with a forward KL objective during training and during inference, it calibrates candidate scores with pointwise mutual information (PMI) to reduce the influence of g...

Lian-Jie Li, Zhi-Ying Tu, Dianhui Chu et al. · 0 citations

Preprint Aug 2026

Towards Robust Tool Use in Agents via Experience-Driven Adaptive Guidance

Extensive experiments show that ExpG brings consistent improvements across the tool selection, tool calling, and response generation tasks, enabling smaller agents to outperform larger ones that do not use ExpG, suggesting a promising path toward more robust tool use.

Can Wang, Hao-Ran Chen, Li Yu et al. · 0 citations