📚 PhD Research Notes & Reading List

Welcome to my personal knowledge base. This repository serves as a living document of my PhD journey, focusing on Natural Language Processing (NLP) and Information Retrieval (IR).

Note: This repository is automatically synced from my private Notion database every night via GitHub Actions. It represents my raw notes, critiques, and implementation ideas.

---

🧠 Research Focus

My primary research interests include:

• Information Retrieval: Search engines, RAG (Retrieval-Augmented Generation), and reranking.
• NLP & LLMs: Large Language Models, especially Thai Language Models and low-resource settings.

📂 Repository Structure

/phd-research-notes
│
├── /notes            # 📝 The Core: Markdown summaries of papers (Auto-synced)
│   ├── paper01.md
│   ├── paper02.md
│   └── ...
│
├── /scripts          # ⚙️ Automation: Node.js scripts for Notion API sync
│   └── sync.js
│
└── .github/workflows # 🤖 CI/CD: Daily sync configuration
    └── sync.yml

🛠️ The Automation Workflow

I believe in "Write Once, Publish Everywhere."

Reading: I read papers and write structured critiques in Notion.

Metadata: I tag papers with properties like Conference, Year, and Tags.

Sync: A GitHub Action runs daily, fetches Status="Done" pages, converts them to Markdown, and pushes them here.

Frontmatter: Custom scripts generate YAML headers for better compatibility with static site generators.

🌟 Featured Readings

If you are looking for a place to start, here are some of my key notes:

<This is currently empty and will be available soon!>

🤝 Usage & Citation

Feel free to read my summaries. If you find a mistake in my interpretation of a paper, please open an Issue—I treat this as a collaborative learning process.

Original Papers: All rights belong to the original authors (links provided in each note).

Notes: Licensed under MIT.

_{Maintained by me • Powered by Caffeine & arXiv}