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
Experiments on LoCoMo and MemConflict demonstrate that the proposed EMIR framework and intent-guided multi-round retrieval mechanism improves long-term memory utilization, dynamic and static conflict handling, and complex retrieval performance, achieving relative improvements of more than 12\% in certain categories.
Jin-Lan Liu, Hong-Liang Sun, Yong Wang et al.· 0 citations
A Retrieval-Augmented Generation framework for scientific image quality assessment, designed to simultaneously address both the understanding track (SIQA-U) and the scoring track (SIQA-S) of the SIQA challenge, is proposed.
Yi-Nuo Zhang, Bing-Shuo Liu, Zhi-Ying Tu et al.· 0 citations
GARDRec, a Graph-grounded Adaptive Reasoning and Decision-aware Recommendation framework for LLM-based next-item ranking, is proposed, which improves candidate-ranking performance over representative baselines and verifies the contributions of graph projection, neighborhood retrieval, explicit decision features, rankin...
Yong Wang, Hong-Liang Sun, Jin-Lan Liu et al.· 0 citations
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
Experiments show that DuPLeR achieves robust performance in data-scarce KGC scenarios, and a dual-pathway multimodal enhancement module regulates message passing with query-relevant multimodal signals and supplements entity representations after graph propagation.
The proposed knowledge-enhanced visual diagnostic system enhances the transparency of traditional Chinese medicine diagnostic reasoning and the interpretability of treatment plans through knowledge graph-driven visualization and multimodal interaction, offering a practical solution for trustworthy artificial intelligen...
Yunhan Wang, Yu-Die Wang, Zhiying Tu et al.· arXiv.org· 0 citations
This work introduces Model Automated Deployment Engine (MADE), a dual-agent coordination system that iteratively constructs and validates the deployment artifacts, updates its deployment belief based on execution feedback, and revisits invalid upstream artifacts until the model is successfully served as a ready-to-call...
Yicheng Liu, Bolin Zhang, Weiran Liu et al.· 0 citations
This work proposes VPO, a negative gradient constraint method for human non-preference samples based on V -usable information, which can alleviate the squeezing effect of DPO, enhance alignment with the generation objective, and maintain the model’s ability to distinguish between preference and non-preference samples.
Zecheng Wang, Chunshan Li, Yupeng Zhang et al.· Neural Information Processin...· 1 citation
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