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cs.LG2025
CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows
Hyeonjae Kim, Chenyue Li, Wen Deng +4
Climate science demands automated workflows to transform comprehensive questions into data-driven statements across massive, heterogeneous datasets. However, generic LLM agents and…
cs.LG2025
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
Chenyue Li, Wen Deng, Mengqian Lu +1
The rapid advancements in large language models (LLMs), particularly in their reasoning capabilities, hold transformative potential for addressing complex challenges and boosting s…