liaoyuhua/LLM4TS

• highreadme#1

  Reposition the README's opening paragraph to clarify its purpose as a curated collection

  原因：

  当前

  This project collects the papers and codes of Large Language Models (LLMs) and Foundation Models (FMs) for Time Series (TS). Hope this project can help you to understand the LLMs and FMs for TS.

  复制粘贴的修复

  复制

  This repository is a curated collection of papers and open-source implementations focusing on Large Language Models (LLMs) and Foundation Models (FMs) applied to Time Series (TS). It serves as a comprehensive survey and resource for researchers and practitioners exploring this emerging field.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a LICENSE file in the root directory of the repository, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intent for sharing collected papers and code links.

  待办完成忽略
• mediumtopics#3

  Refine repository topics to emphasize its nature as a curated list/survey

  原因：

  当前

  deep-learning, foundation-models, large-language-models, survey, time-series

  复制粘贴的修复

  复制

  deep-learning, foundation-models, large-language-models, time-series, survey, research-papers, curated-list, awesome-list

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I leverage large language models for advanced time series analysis and forecasting?

  你：未被推荐
  AI 推荐顺序：

  1. TimeGPT
  2. NeuralForecast
  3. StatsForecast
  4. OpenAI GPT-4
  5. OpenAI GPT-3.5
  6. Google Vertex AI
  7. Google PaLM
  8. Google Gemini
  9. Hugging Face Transformers Library
  10. LangChain

  AI 推荐了 10 个替代方案，却始终没点名 liaoyuhua/LLM4TS。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find a comprehensive survey of foundation models applied to time series data?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. Google Scholar
  3. NeurIPS
  4. ICML
  5. ICLR
  6. KDD
  7. AAAI
  8. IJCAI
  9. Google AI Blog
  10. Meta AI Blog
  11. Microsoft Research Blog
  12. Hugging Face Blog

  AI 推荐了 12 个替代方案，却始终没点名 liaoyuhua/LLM4TS。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of liaoyuhua/LLM4TS?

  pass
  ✓AI 明确点名了 liaoyuhua/LLM4TS

  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 liaoyuhua/LLM4TS in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 liaoyuhua/LLM4TS

  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 liaoyuhua/LLM4TS solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 liaoyuhua/LLM4TS

  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？