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#machine learning Preprint Sep 2026

PMOPD: Task Ordering, Cycling, and Parameter-Update Subspace Protection in Multi-Teacher On-Policy Distillation

PMOPD ( project-based Multi-Teacher On-Policy Distillation), which constructs subspace memories from the cumulative parameter displacements of different tasks and projects both gradients and optimizer updates to remove components that interfere with protected task directions, establishes geometry-aware optimization as...

You Liu, Ruo-Bing Zheng, Bo-Yuan Tong et al. · 0 citations
#machine learning Preprint Sep 2026

OSCAR: Order-aware Scoring and Calibration for AI Rankings

Judge-specific sensitivity is useful for aggregating pairwise LLM evaluations, but its interpretation depends on which systematic presentation effects the ranking model includes. We introduce OSCAR, an order-aware framework for scoring and calibrating AI rankings, and study position as one such effect. In released judg...

You Liu, Yue Liu, Quanchao Lu et al. · 0 citations

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