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OSU-NLP-Group/TravelPlanner
默认分支 main · commit e52c87f4 · 扫描时间 2026/6/11 05:13:10
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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 OSU-NLP-Group/TravelPlanner 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#1Strengthen the README's opening sentence to emphasize its benchmark role
原因:
当前Code for the Paper "TravelPlanner: A Benchmark for Real-World Planning with Language Agents".
复制粘贴的修复This repository provides the official benchmark and code for "TravelPlanner: A Benchmark for Real-World Planning with Language Agents", designed to evaluate language agents in complex, real-world planning scenarios.
- mediumtopics#2Add more specific topics to improve category matching
原因:
当前autonomous-agents, language-agent, large-language-models, planning
复制粘贴的修复autonomous-agents, language-agent, large-language-models, planning, benchmark, real-world-planning, agent-evaluation
- mediumreadme#3Add a 'Key Differentiators' section to the README
原因:
复制粘贴的修复## Key Differentiators TravelPlanner stands out as a benchmark focused on **real-world planning** with language agents, moving beyond simulated environments. Unlike many existing benchmarks that rely on structured inputs or simpler tasks, TravelPlanner emphasizes: - **Complex, free-form user preferences:** Agents must interpret nuanced natural language instructions. - **Tool-use and multi-step planning:** Requires agents to interact with external tools and execute intricate plans. - **Real-world constraints:** Incorporates practical limitations and dynamic information, making it a robust testbed for advanced language agents.
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。
- MuJoCo · 被推荐 2 次
- Amazon Mechanical Turk · 被推荐 1 次
- Upwork · 被推荐 1 次
- ALFWorld · 被推荐 1 次
- BabyAI · 被推荐 1 次
- 品类问题How to evaluate language agent performance in complex real-world planning scenarios?你:未被推荐AI 推荐顺序:
- Amazon Mechanical Turk
- Upwork
- ALFWorld
- BabyAI
- MiniGrid
- WebArena
- Playwright
- Selenium
- GPT-4
- AirSim
- MuJoCo
AI 推荐了 11 个替代方案,却始终没点名 OSU-NLP-Group/TravelPlanner。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are good benchmarks for assessing autonomous agent capabilities in sequential decision-making?你:未被推荐AI 推荐顺序:
- OpenAI Gym / Gymnasium (Farama-Foundation/Gymnasium)
- Atari 2600
- MuJoCo
- Classic Control
- DeepMind Lab (deepmind/lab)
- StarCraft II Learning Environment (SC2LE) / PySC2 (deepmind/pysc2)
- Meta-World (rlworkgroup/metaworld)
- Procgen Benchmark (openai/procgen)
- MineRL (minerllabs/minerl)
- ALFWorld (askforalfred/alfworld)
- AI2-THOR (allenai/ai2thor)
AI 推荐了 11 个替代方案,却始终没点名 OSU-NLP-Group/TravelPlanner。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 OSU-NLP-Group/TravelPlanner?passAI 明确点名了 OSU-NLP-Group/TravelPlanner
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 OSU-NLP-Group/TravelPlanner in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 OSU-NLP-Group/TravelPlanner
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 OSU-NLP-Group/TravelPlanner solve, and who is the primary audience?passAI 未点名 OSU-NLP-Group/TravelPlanner —— 很可能在说另一个项目
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 OSU-NLP-Group/TravelPlanner 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/OSU-NLP-Group/TravelPlanner)<a href="https://repogeo.com/zh/r/OSU-NLP-Group/TravelPlanner"><img src="https://repogeo.com/badge/OSU-NLP-Group/TravelPlanner.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
OSU-NLP-Group/TravelPlanner — 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