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Graduate AI Research Notes

An Obsidian vault of personal research notes on optimizing and evaluating neural networks for academic paper generation. The notes are atomic, wiki-linked, and grouped around a central map of content.

Open in Obsidian

Point Obsidian at this repository root as a vault. The .obsidian/ folder ships with a minimal config (graph view color groups by tag, shortest-form wiki-links).

Start here

Vault layout

.
├── README.md                         ← you are here
├── GeminiInput.md                    ← original input (preserved)
├── References.md                     ← reading list, wiki-linked
├── .obsidian/                        ← vault config
├── forges/                           ← hosting-platform notes (separate concern)
└── notes/
    ├── MOC - Academic Paper Generation.md
    ├── Concept Index.md
    ├── training/                     ← §1 of GeminiInput
    │   ├── Structural Token Insertion.md
    │   ├── LaTeX Oversampling.md
    │   ├── Negative Sampling.md
    │   ├── Contrastive Text Filtering.md
    │   ├── RLHF and RLAIF.md
    │   └── Direct Preference Optimization.md
    ├── evaluation/                   ← §2 of GeminiInput
    │   ├── QAG Scorer.md
    │   ├── Type-Token Ratio and Perplexity.md
    │   ├── Embedding Cross-Sectional Similarity.md
    │   └── G-Eval Framework.md
    └── pipeline/                     ← §3 of GeminiInput
        └── Comparative Generation Pipeline.md

Conventions

  • One concept per note. Notes are atomic so the graph view is informative.
  • Wiki-links ([[Note Name]]) for all internal references. The .obsidian/app.json setting newLinkFormat: shortest keeps them stable across folder moves.
  • Frontmatter on every note: title, aliases, tags, up (parent MOC). Tag taxonomy:
    • #training, #evaluation, #pipeline — the three pillars.
    • #moc, #index, #references — navigational.
    • #academic-generation — domain tag carried by all substantive notes.
  • up: field points each note at its MOC for hierarchical navigation in Obsidian's outgoing-links pane.

Research Practice

  1. All factual claims are backed by sources in References or external citations linked inline.
  2. Code implementations match published benchmarks where applicable.
  3. Experiments include reproducibility checks; the Comparative Generation Pipeline note documents the discipline.