新闻
EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- EarthVerse is a benchmark with 405 tasks testing AI agents on Earth-system analysis across 199 documented natural hazard events and 19 hazard families.
- 为何重要
- Matters for engineers building scientific agents that must integrate heterogeneous data sources, reconcile conflicts, and maintain reasoning chains across complex investigations.
- 注意
- Best systems reach 84.65% answer accuracy but only 34.81% on strict consistency checks, revealing agents complete steps without maintaining coherent chains across evidence and calculations.
收听本摘要
- agent
- eval
- benchmark
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- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- tau-bench (Tool-Agent-User)
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