Author

Jing-Hui Chen

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#machine learning Preprint Oct 2026

Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents

While LLM-based agent systems have demonstrated remarkable proficiency in reasoning and solving complex real-world tasks, they also come with substantial token consumption and inference latency, limiting their practical deployment. To enhance the efficiency of agent systems, recent efforts have focused on transferring...

Yuan-Pu Cao, Saket Sathe, Hanyu Wang et al. · 0 citations

#machine learning Preprint Sep 2026

From Narrative to Auditable Forecasts: A Structured Scaffold for Agentic Forecasting

Auditable forecasting report that makes forecast construction explicit and supports systematic post hoc analysis, and improves forecasting accuracy and calibration relative to strong agentic baselines, surpasses market-implied references in several settings, and outperforms substantially more expensive deep-research ag...

Yuan-Pu Cao, Yongkang Du, Yu-Rui Chang et al. · 0 citations