Authors

Mingxuan Yuan

Publications 2

Preprint Open access

Test-time Calibration Learning for Large Language Model Reasoning

Zizhuo Zhang, Xiong Peng, Jingwei Sun et al. · 2026

Reliable large language models (LLMs) must not only produce accurate answers but also express confidence that faithfully reflects their probability of being correct. Such calibration is essential for identifying uncertain predictions and supporting reliable decision-making in real-world deployment. Recent studies incor …

Preprint Open access

Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization

Chen Lu, Ke Xue, Siyuan Xu et al. · 2026

Large language models are increasingly participating in complex real-world tasks in the form of algorithm-design agents, designing and refining algorithms. Many successful algorithm-design agents adopt pure in-context evolutionary frameworks, but they may quickly plateau in domains that require specialized knowledge. P …

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