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Xiang Gao

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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

Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs

Covariate-Adjusted Residual Policy Learning (CAR-PL) is introduced, an action-wise R-learner that operates directly on multi-hot logs and regularizes selection by observational support and support objective-specific ranking of SMB financial guidance from multi-action accounting logs.

Shrutendra Harsola, Vignesh T. Subrahmaniam, Vikas Raturi et al. · 0 citations

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