Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists
- 类型:arxiv
- 标识:2607.11079
- 链接:https://arxiv.org/abs/2607.11079
- 主分类:evaluation
- 形态:benchmark
- 被引:0
- 被引来源:Semantic Scholar + OpenAlex
- S2被引:0
- OpenAlex被引:0
- 影响力被引:0
- TLDR:SDABench is introduced, a benchmark that reorganizes evaluation around six capabilities (descriptive, exploratory, inferential, inferential, predictive, causal, and mechanistic) across five domains (Biology, Chemistry, Environment, Geography, Physics).
- OpenAlex ID:W7168272912
- OpenAlex DOI:10.48550/arxiv.2607.11079
- DOI:10.48550/arxiv.2607.11079
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2607.11079
- OpenAlex更新:2026-07-19
- 待LLM分类:否
- 标题中文:LLMs 是否准备好进行科学发现?面向 AI 科学家的能力导向基准
- TLDR中文:提出 SDABench,一个围绕六项能力(描述性、探索性、推断性、推断性、预测性、因果性、机制性)跨五大领域(生物、化学、环境、地理、物理)重新组织评估的基准。
- 来源文件:
- /inbox/tom/_candidates/2026-07-16-agent-rag-longcontext-candidates.json
- [S2 enrich]
- [OpenAlex backfill]