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Author

Bolin Zhang

Harbin Institute of Technology

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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 Sep 2026

EMIR$^2$: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval

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
Jul 2026

Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

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.

Jin-Lan Liu, Zhiying Tu, Yong-Chao Xing et al. · 0 citations

Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation

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. · 0 citations
Preprint Aug 2026

MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model Deployment

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

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