This article aims to explore the cultivation of “T-shaped” talents in applied universities’ fashion programs under the context of new quality productivity, covering the practical path from setting ability goals to actually acquiring skills. The paper combines action research with empirical surveys, focusing on the prac...
Citation accuracy has been studied for decades because of its importance to research reliability. Content-level citation verification assesses the reliability of scholarly claims. Recent work adopts a two-stage retrieval-classification framework inherited from fact-checking. However, this design overlooks the complexit...
Yi-Fan He, Meng-Jia Wu, Si-Ming Deng et al.· 0 citations
This work proposes MemDream, a framework that enables self-probing memory evolution for LLM agents and periodically enters offline dream cycles where three specialized agents collaboratively probe, diagnose, and repair the memory graph before failures occur.
Ming-Fei Lu, Meng-Jia Wu, Run-Song Jia et al.· 0 citations
A novel method is proposed, Evidence-Aligned Entity Verification (EAEV), which detects entity-level hallucinations by leveraging RAG to align generated entities with retrieved evidence contexts and introduces counterfactual stability analysis to ensure robust alignments under evidence perturbations.
Run-Song Jia, Zhen Fang, Meng-Jia Wu et al.· Annual Meeting of the Associ...· 0 citations
This study contributes a unified research model for stakeholder-specific AI adoption, demonstrates a mixed quantitative-qualitative approach, and establishes a scalable foundation beginning with engineers and extending to other stakeholders through future empirical validation.
Zixiang Ao, Mengjia Wu, Yi Zhang· 0 citations
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