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allenai/visprog
默认分支 main · commit 9626868c · 扫描时间 2026/6/8 09:28:23
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 allenai/visprog 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition README to prioritize VisProg and clarify its core domain
原因:
当前🔥 Checkout our new work CodeNav which addresses many limitations of VisProg and generalizes it further: 🔥 <br> ✅ ~~Write tool descriptions~~ Point to the codebase which you want the CodeNav agent to use - that's right, the raw source code! - CodeNav will index and search the source code directly <br> ✅ ~~Generate the whole program at once~~ CodeNav iteratively generates code (which imports and invokes functions and classes from your codebase), executes it, and then decides the next step based on the execution output. The next step could be searching in the codebase or writing more code <br> ✅ ~~Generate one function call per line~~ CodeNav generates free-form code - think of it similar to writing a code cell in an ipython notebook. While executing the current code block, CodeNav has access to global variables created while executing previous code blocks <br> ✅ ~~Give up if there's an execution error~~ CodeNav will look at execution results including errors, new variables created, and STDOUT, and will try to fix errors in the next step <br> ✅ ~~Implement tools as simple function calls~~ CodeNav gives you, as the developer of tools, flexibility to build a full-fledged codebase as you see fit - use abstractions, use object-oriented programming - just generally follow good software development practices (meaningful class/function/variable names, docstrics, specifying argument types in your code help) # Visual Programming: Compositional visual reasoning without training (CVPR
复制粘贴的修复This is the official code for **VisProg: Compositional visual reasoning without training** (CVPR 2023 Best Paper!). VisProg enables AI models to perform complex, multi-step visual reasoning by programmatically decomposing tasks into executable steps using interpretable vision primitives. [Place the CodeNav promotion *after* this clear introduction to VisProg.]
- hightopics#2Add relevant topics to improve categorization
原因:
当前(none)
复制粘贴的修复['computer-vision', 'visual-reasoning', 'program-synthesis', 'cvpr-2023', 'deep-learning', 'machine-learning', 'interpretability', 'ai-agents']
- mediumhomepage#3Add a homepage URL
原因:
复制粘贴的修复[URL to the project's official page, e.g., the paper's project page or AllenAI's dedicated page for VisProg]
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- AutoGPT · 被推荐 2 次
- OpenAI GPT-4 · 被推荐 1 次
- Assistants API · 被推荐 1 次
- LangChain · 被推荐 1 次
- LlamaIndex · 被推荐 1 次
- 品类问题How to build an AI agent that generates and executes code against an existing codebase?你:未被推荐AI 推荐顺序:
- OpenAI GPT-4
- Assistants API
- LangChain
- LlamaIndex
- AutoGPT
- BabyAGI
- GitHub Copilot
- Jupyter
- IPython
AI 推荐了 9 个替代方案,却始终没点名 allenai/visprog。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What tools help AI agents iteratively generate and debug code based on execution feedback?你:未被推荐AI 推荐顺序:
- Cursor
- OpenAI Gym
- OpenAI Baselines
- SWE-bench
- MetaGPT
- AutoGPT
- Pydantic
- Jupyter Notebooks
- ipython-sql
- Google Colab
AI 推荐了 10 个替代方案,却始终没点名 allenai/visprog。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of allenai/visprog?passAI 明确点名了 allenai/visprog
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts allenai/visprog in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 allenai/visprog
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo allenai/visprog solve, and who is the primary audience?passAI 明确点名了 allenai/visprog
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 allenai/visprog 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/allenai/visprog)<a href="https://repogeo.com/zh/r/allenai/visprog"><img src="https://repogeo.com/badge/allenai/visprog.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
allenai/visprog — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3