Author

Ni-Er Wu

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#artificial intelligence Review Oct 2026

Joint Workflow and Prompt Optimization for User Behavior Simulation

User behavior simulation is the computational modeling of user interactions within information systems through the use of simulated agents in place of live users. It supports system testing and evaluation, decision-making and forecasting, and user experience design. Existing simulators rely on hand-crafted rules or dom...

Ni-Er Wu, Hong-Zhi Yin, Hui Li et al. · 0 citations

#machine learning Preprint Sep 2026

RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback

This work proposes RewardExplainer, a framework that obtains feedback from the target reward model through counterfactual rewriting and uses this feedback to further optimize the explainer, enabling the explainer to more faithfully capture the target RM's scoring preferences and sensitive behaviors than single-pass gen...

Jing-Yi He, Ni-Er Wu, Shuang Liu et al. · 0 citations