This work proposes CEDAR (Controlled and Event-Driven Demand forecasting via Action-aware Residual decomposition), a two-stage framework for robust decision-conditioned simulation that consistently improves simulation accuracy over strong TSF baselines and delivers practical gains for real-world budget planning.
Jun-Jie Meng, Ran Zhang, Zi-An Zhang et al.· Proceedings of the 32nd ACM...· 1 citation· ⚡1
Forecasting in large-scale e-commerce marketplaces is increasingly required to support planning : merchants need to evaluate sales outcomes under future action sequences such as budget schedules, rather than passively predicting what happens next. However, most existing time series forecasting (TSF) approaches remain i...
Junjie Meng, Ran Zhang, Zi-An Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
ADRS is introduced, a framework for constructing return-associated token-level credit for multi-turn language agents that centers and normalizes privileged token scores within each step, modulates them with a return-associated Teacher Value Advantage gate based on within-group confidence--return association, and incorp...
Ran Zhang, Guinan Chen, Chenshaodong et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
