BACKGROUND AND OBJECTIVE
Ischemic stroke is a leading cause of mortality and long-term disability worldwide. Genetic factors contribute to IS susceptibility, yet conventional polygenic risk score approaches are primarily based on additive effects and may not fully capture non-linear relationships or positional context...
Yue Yang, Kai-Rui Guo, Zhen Fang et al.· Computer Methods and Program...· 0 citations
Results demonstrate that combining probabilistic evidence with fuzzy degree modeling provides an effective and practical approach for mitigating implicit bias in large language models and Bayesian-Theory-based Bias Removal (BTBR) consistently reduces persona-induced performance gaps while preserving general reasoning a...
Yong-Xin Deng, Xiao-Yu Tan, Jing Pan et al.· 4 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 work is the first to reformulate the recommendation denoising problem into a Partial Label Learning (PLL) task, and innovatively leverages PLL paradigms to directly resolve ambiguous implicit feedback, effectively recovering clean signals from noisy candidate sets.
Huilin Chen, Jie Lu, Kezhi Lu et al.· Annual International ACM SIG...· 0 citations
Stability-Aware Adaptive Layer Aggregation (SALA) defines a layer-wise instability index computed from the training data, which measures how separability varies across domains and provides an upper bound on the possible separability drop from training to test.
Xinyi Li, Zhen Fang, Yadan Luo et al.· Proceedings of the 32nd ACM...· 0 citations
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