ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis 事件

ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis arXiv:2604.16922v3 Announce Type: replace Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analytical tools have created significant bottlenecks, constraining scientific discovery to fragmented and labor-intensive workflows. While the emergence Large Language Models (LLMs) offers a transformative paradigm to scale