Multi-agent systems (MAS) powered by large language models have shown strong performance across code generation, mathematical reasoning, and question answering. However, existing methods for automating MAS design mostly operate at the task level, producing a single fixed workflow per benchmark that is applied uniformly...
Qi Cheng, Sheng-Yu Chen, Wei Cheng et al.· 0 citations
Evaluating ecological time series is critical for benchmarking model performance in many important applications, including predicting greenhouse gas fluxes, tracking soil moisture and soil–atmosphere interactions, and monitoring hydrological cycles. Traditional numerical metrics (e.g., R-squared, root mean square error...
Qi Cheng, Licheng Liu, Yi-Xuan Chen et al.· Proceedings of the 32nd ACM...· 3 citations
An action-conditioned world-modeling framework for Earth-system emulation that reformulates simulator trajectories as supervision for controllable state-transition learning that preserves competitive long-horizon emulation accuracy while enabling controllable structural interventions and coherent responses in coupled e...
Zhi-Hao Wang, Rui-Chen Wang, Ruo-Han Li et al.· 0 citations
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