Author

Yi-Ran Zhao

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#artificial intelligence Preprint Sep 2026

Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems

SCOPED-Hiring reveals that balanced final hire rates can mask hidden trajectory unfairness in multi-agent decision trajectories and reduces total layered burden by 72.3% while shifting the hire rate by only 1.86 pp, showing that process diagnosis can guide effective repair.

Yi-Ran Zhao, Lu Zhou, Liming Fang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

This work proposes LEAP (Likelihood Elicitation and Aggregation for Probabilistic forecasting), which reorganizes how collected evidence is used in the prediction stage and improves most prediction and calibration metrics across models and remains stronger under controlled comparisons of prior access, inference budget, and aggregation.

Yu-Fei Chen, Yi-Ran Zhao, Xiaogang Xu et al. · 0 citations