| { |
| "absolute_id": 120, |
| "language": "cn", |
| "persona": "Researcher", |
| "task": "我的桌面下有一些研究相关的ScreenShot,但是我没有进行重命名,现在不知道文件内容,帮我总结辨析一下,注意文件的分类关联,生成一份总结文档,输出到桌面,文件名为ScreenShot_summary.md", |
| "task_diff": "困难(步骤超过10步且包含协同类型3)", |
| "output_files": [ |
| "ScreenShot_summary.md" |
| ], |
| "rubrics": [ |
| "输出文件ScreenShot_summary.md是否包含了全部7张截图的内容描述?", |
| "总结文档是否将7张截图正确分为AI Agent架构设计、CL-Bench论文、开发环境三个组?", |
| "AI Agent架构部分是否提到了INPUT & ROUTING LAYER、TASK DISTRIBUTION LAYER、AGENT PARADIGM LAYER、OPERATION AGENT LAYER、VLM / LLM API LAYER共五个层级?", |
| "AI Agent架构中TASK DISTRIBUTION LAYER是否列出了Question Answering、Spreadsheet Manipulation、Data Visualization三类任务?", |
| "AGENT PARADIGM LAYER是否对比了Planning-Then-Execution和Reflection-Then-Action两种范式?", |
| "是否说明了ScreenShot_2026-01-10_210325_653.png是Planning-Then-Execution流程的放大图?", |
| "完整架构图中OPERATION AGENT LAYER是否包含Planning Agent、Execution Agent、Code Agent三个角色?", |
| "CL-Bench论文部分是否正确指出论文标题为CL-BENCH: A Benchmark for Context Learning?", |
| "CL-Bench论文摘要中是否提到模型平均仅解决17.2%的任务,GPT-5.1最佳成绩为23.7%?", |
| "CL-Bench数据统计是否提到包含500个复杂上下文、1,899个任务和31,607个验证标准?", |
| "CL-Bench分类部分是否提到将context分为四大类别,进一步划分为18个子类别?", |
| "Category 1 Domain Knowledge Reasoning是否包含finance、healthcare、humanities等子领域?", |
| "Category 2 Rule System Application是否包含game mechanics、programming syntax、legal regulations等子类别?", |
| "是否指出论文作者团队来自Hunyuan Team, Tencent和Fudan University?", |
| "开发环境组Chrome截图中当前用户是否为周煊赫?", |
| "VS Code截图中正在运行哪个脚本,是否正确识别为download_arxiv.py?", |
| "download_arxiv.py下载状态是否正确记录为已下载3972篇,失败221篇?", |
| "是否说明三张Agent架构截图存在递进关系,是同一设计过程的不同阶段?", |
| "是否说明两张论文截图是同一篇论文的不同页面?", |
| "是否统计出总截图数量为7张,其中2026-01-10有3张,2026-02-07有4张?", |
| "总结文档是否使用markdown格式,包含标题、表格、分段等正确格式?", |
| "是否总结出所有截图整体都围绕大语言模型/AI Agent研究方向?" |
| ], |
| "rubric_types": [ |
| "结果评估", |
| "结果评估", |
| "基础评估", |
| "基础评估", |
| "基础评估", |
| "基础评估", |
| "基础评估", |
| "基础评估", |
| "结果评估", |
| "结果评估", |
| "结果评估", |
| "结果评估", |
| "结果评估", |
| "基础评估", |
| "基础评估", |
| "基础评估", |
| "结果评估", |
| "过程评估", |
| "过程评估", |
| "基础评估", |
| "基础评估", |
| "结果评估" |
| ], |
| "file_dep_graph": [ |
| { |
| "from": "ScreenShot_2026-01-10_200308_169.png", |
| "to": "ScreenShot_2026-01-10_210325_653.png" |
| }, |
| { |
| "from": "ScreenShot_2026-01-10_200308_169.png", |
| "to": "ScreenShot_2026-01-10_212541_898.png" |
| }, |
| { |
| "from": "ScreenShot_2026-01-10_210325_653.png", |
| "to": "ScreenShot_2026-01-10_212541_898.png" |
| }, |
| { |
| "from": "ScreenShot_2026-02-07_132145_115.png", |
| "to": "ScreenShot_2026-02-07_132212_248.png" |
| }, |
| { |
| "from": "ScreenShot_2026-02-07_132218_499.png", |
| "to": "ScreenShot_2026-02-07_132225_683.png" |
| } |
| ], |
| "data_manifest": [ |
| { |
| "filename": "ScreenShot_2026-01-10_212541_898.png", |
| "stored_relpath": "data/00a7af007d2d9687_ScreenShot_2026-01-10_212541_898.png" |
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| "stored_relpath": "data/c4a93bae26bd6478_ScreenShot_2026-02-07_132145_115.png" |
| } |
| ], |
| "tested_capabilities": [ |
| "Workspace Exploration", |
| "Task-Providing File Utilization", |
| "Semantic Content Relations Understanding" |
| ] |
| } |
|
|