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Fangxin Wang

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#natural language process... Preprint Oct 2026

Long-Horizon Textual World Modeling through Structured Reasoning

World models must predict how an environment evolves under sequences of actions, enabling agents to compare possible futures and reason about counterfactual actions before acting. Long-horizon prediction is commonly obtained by recursively applying a one-step transition model, but intermediate errors can compound over...

Fang-Xin Wang, Xiang Gao, Yu-Guang Yao et al. · 0 citations

Preprint Aug 2026

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters

This work presents CRAFTER (Corrective Residual Agent with Feature-based Temporal Exploration and Reasoning), which keeps the backbone frozen and mines its residual with two complementary generators: a compositional search over the raw input channels, and a large language model that proposes named feature combinations,...

Fangxin Wang, Ziyi Zhang, Di-Yi Zhuang et al. · 0 citations