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Zhiyuan Li

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#artificial intelligence Preprint Sep 2026

More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models

Direct-decision models enable efficient classification and evaluation by selecting from predefined candidates, but their reliability depends on more than prediction accuracy. Across 40 datasets and nine models from the JEV, KEV, and StartLux Decision families, we identify a systematic tendency to underuse ordinal ratin...

Tian-Xiang Gao, Jin-Zhe Li, Zhiyuan Li et al. · 3 citations
Preprint Aug 2026

CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval

CaSKG, a counterfactual-causal skill graph framework that calibrates procedural relations before retrieval, is proposed, position edge-confidence calibration as an effective route to compact and executable skill retrieval at scale.

Zhiyuan Li, Lin-Yuan Gao, Xue-Chun Ding et al. · 3 citations

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