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Dianbo Sui

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Preprint Sep 2026

Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents

Skill-augmented agents load reusable skills as persistent runtime context, improving task performance but also giving malicious skills a durable channel for steering future actions. Such skills may leak secrets, corrupt code, bypass approvals, or stage data for exfiltration only after a concrete user task and workspace...

Xiao-Fan Yang, Ziqi Miao, Chen Qian et al. · 0 citations
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
Preprint Aug 2026

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation

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
#artificial intelligence Preprint Sep 2026

Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents

This work proposes Defense-as-Skill, a defense paradigm that implements the runtime guard itself as an installable, inspectable, and editable skill, and demonstrates transfer across victim models, held-out risk families, and external benchmarks, as well as retained protection against adaptive attackers.

Xiao-Fan Yang, Ziqi Miao, Dian-Bo Sui 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

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