研究人员开发了HepScript，一种领域特定语言（DSL），旨在促进高能物理数据分析中的人机协作。该DSL将复杂的分析逻辑抽象为人类专家和AI代理都能理解的正式语法，显著减少了人工编写代码的需求。在案例研究中，HepScript使AI代理能够从文献中生成可执行的分析规范，并取得了很高的成功率，展示了将AI集成到科学工作流中的可扩展途径。 AI
影响 新的人机协作框架可以简化复杂的科学研究和HPC工作流，有可能加速发现和部署。
排序理由 该集群包含两篇arXiv论文，详细介绍了用于科学和HPC环境中人机协作的新框架和语言。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2605.03743v1 Announce Type: cross Abstract: Human involvement is critical in training and deploying AI systems in high-stakes defence and security contexts. However, real-time interaction is impractical in HPC environments due to compute intensity and resource constraints. …
arXiv:2605.01423v1 Announce Type: cross Abstract: The escalating data scale in High-Energy Physics (HEP) fuels a growing aspiration for higher analytical efficiency. While Large Language Models (LLMs) offer a path toward automation via agentic AI, they struggle with complex scien…
Human involvement is critical in training and deploying AI systems in high-stakes defence and security contexts. However, real-time interaction is impractical in HPC environments due to compute intensity and resource constraints. We present a workflow framework that enables async…