Prerankers in large-scale recommender systems select candidates for a downstream ranker under strict latency constraints. In practice, teams combine accuracy metrics with alignment losses to train and evaluate prerankers, but what these quantities should target—and how to combine them—remains ad hoc. We derive the Casc...
Hedi Xia, Sheng-Lang Zhou, Ya-Li Bian et al.· Proceedings of the 20th ACM...· 0 citations
News-driven time series forecasting uses evolving textual events together with historical observations to predict future values, supporting applications such as market risk monitoring and resource scheduling. In multi-agent settings, two challenges still remain. The first is degeneration of thought, where agents conver...
Yuxuan Zhang, Yang-Yang Feng, Yong Guan et al.· 0 citations
CoNS-Explorer is developed, which uses reviewed instructional DAGs/SCMs to maintain a shared causal-fact ledger and generate fact-matched direct explanations and contextualized stories and four testable design propositions for adaptive causal explanation.
Bo-Wen Deng, Jian-Qing Zou, Ke-Xin Zhang et al.· 0 citations
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