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Jing-Hui Chen

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#natural language process... Preprint Oct 2026

DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision

DecisionRobust is introduced, a benchmark for systematically evaluating the robustness of decision models across textual and visual inputs and shows that attacks expose vulnerabilities beyond the models used for construction and selection.

Yi-Fan Lan, Zhong-Ye Liu, Yu-Rui Chang et al. · 0 citations
#machine learning Preprint Oct 2026

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

Progress-Aware Distillation (ProD) is proposed, which explicitly detects and penalizes stagnation in student-generated trajectories and encodes the stagnation gap between student and teacher into an adaptive margin for dynamically penalizing possible stagnation.

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

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