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open-compass/opencompass
默认分支 main · commit 1f0b97a5 · 扫描时间 2026/6/25 02:51:43
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 3 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
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 open-compass/opencompass 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 the README's opening to clearly state its role as a unified LLM evaluation and benchmarking platform
原因:
当前Welcome to **OpenCompass**! Just like a compass guides us on our journey, OpenCompass will guide you through the complex landscape of evaluating large language models. With its powerful algorithms and intuitive interface, OpenCompass makes it easy to assess the quality and effectiveness of your NLP models.
复制粘贴的修复Welcome to **OpenCompass**, the unified and comprehensive platform for evaluating and benchmarking large language models (LLMs). OpenCompass provides a standardized, reproducible, and extensible framework to assess a wide range of LLMs across diverse datasets and tasks, guiding you through the complex landscape of LLM performance.
- mediumtopics#2Add more specific topics to better categorize the project as an LLM evaluation and benchmarking platform
原因:
当前benchmark, chatgpt, evaluation, large-language-model, llama2, llama3, llm, openai
复制粘贴的修复benchmark, chatgpt, evaluation, large-language-model, llama2, llama3, llm, openai, llm-evaluation-platform, llm-benchmarking, model-evaluation, reproducible-ai
- lowcomparison#3Add a dedicated section in the README comparing OpenCompass to common LLM evaluation alternatives
原因:
复制粘贴的修复Add a new section titled 'Why OpenCompass? (Comparison with Alternatives)' or similar, detailing how OpenCompass differentiates itself from tools like LM Evaluation Harness, HELM, or general MLOps platforms, emphasizing its unified, comprehensive, and extensible nature.
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。
- EleutherAI/lm-evaluation-harness · 被推荐 1 次
- huggingface/evaluate · 被推荐 1 次
- openai/evals · 被推荐 1 次
- openai/human-eval · 被推荐 1 次
- stanford-crfm/helm · 被推荐 1 次
- 品类问题How can I effectively benchmark different large language models on diverse datasets?你:未被推荐AI 推荐顺序:
- EleutherAI's LM Evaluation Harness (lm-eval) (EleutherAI/lm-evaluation-harness)
- Hugging Face Evaluate Library (huggingface/evaluate)
- OpenAI Evals (openai/evals)
- BigCode Project's HumanEval (openai/human-eval)
- HELM (Holistic Evaluation of Language Models) (stanford-crfm/helm)
- LangChain (langchain-ai/langchain)
- Ragas (explodinggradients/ragas)
AI 推荐了 7 个替代方案,却始终没点名 open-compass/opencompass。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What platform helps evaluate and compare performance of various LLMs comprehensively?你:未被推荐AI 推荐顺序:
- Weights & Biases (W&B)
- MLflow
- Humanloop
- Arize AI
- Phoenix
- LangChain
- LlamaIndex
- Ragas
- TruLens
AI 推荐了 9 个替代方案,却始终没点名 open-compass/opencompass。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 completenesspass
- 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 open-compass/opencompass?passAI 明确点名了 open-compass/opencompass
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 open-compass/opencompass in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 open-compass/opencompass
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 open-compass/opencompass solve, and who is the primary audience?passAI 明确点名了 open-compass/opencompass
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 open-compass/opencompass 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/open-compass/opencompass)<a href="https://repogeo.com/zh/r/open-compass/opencompass"><img src="https://repogeo.com/badge/open-compass/opencompass.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
open-compass/opencompass — 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