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license: apache-2.0
tags:
- research-notes
- document-ai
- reading-list
- planning
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# Toward Document AI (planning notes)
## Overview
Reading notes and an experiment sketch for **Document AI**. The repository emphasizes what still needs to be tested instead of manufacturing scores or release claims.
Feedback on the structure is welcome; the code is intentionally short.
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## How To Read This Repository
The note follows a intro-related-method-exp-conclusion outline and a narrative-progressive writing style. Plans and hypotheses are kept apart from results; any future numbers should ship with dataset versions, commands, seeds and raw logs.
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## What Is Covered
+ research question scope and likely confounders
+ one proposed comparison against matched baselines
+ evaluation context such as FUNSD, SROIE, and CORD
+ reproducibility checks and open questions
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## Scope And Limitations
Exploratory by design: no benchmark claims, no completed ablations, no released code, no trained checkpoint. The references are a starting point for verification, not evidence that the study has run.
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## Open Questions
+ which baselines are actually comparable under matched capacity?
+ what is the minimum data exposure for a meaningful signal?
+ which confounders would invalidate a naive comparison?
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## Related Work
A reading list around Document AI is being assembled. Entries will be added as the note matures; suggestions via repository discussions are welcome.
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## Files
+ `analysis.md` — primary artifact
+ `README.md` — this documentation
+ `config.json` — architecture configuration
+ `training_args.json` — default experiment settings
+ `model.safetensors` — initialization checkpoint
+ `NOTES.md` — informal to-do notes
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## License
Released under **apache-2.0**. Review the source-data terms separately when this repository is used with external datasets.
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