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Author

Ming-Ze Kong

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Preprint Aug 2026

SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation

Sparse Probing and Outcome-calibrated Targets OPD is introduced, which addresses two coupled decisions, where to probe and what to distill, through an acquisition--exploration--exploitation procedure and demonstrates the effectiveness of SPOT in improving reasoning performance while balancing solution quality and cover...

Zi-Kun Qu, Min Zhang, Ming-Ze Kong et al. · 8 citations
#machine learning Feb 2025

Meta-Prompt Optimization for LLM-Based Sequential Decision Making

The EXPonential-weight algorithm for prompt Optimization} (EXPO) is proposed to automatically optimize the task description and meta-instruction in the meta-prompt for LLM-based agents and is extended to additionally optimize the exemplars (i.e., history of interactions) in the meta-prompt to further enhance the perfor...

Ming-Ze Kong, Zhiyong Wang, Yao Shu et al. · 7 citations

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