Multimodal and document understanding

not yet earned

I can extract structure from real documents and say where a vision-language model is worse than the boring parser it replaced.

What this claim costs

2 assessed items at tier 2 or above0 of 2 — 2 more to do, from 5 available
A public artifact built for this claim — document-extractionNot built yet
A documented negative result — where this stops workingNothing recorded. A capability with no known failure boundary has not been explored.
Defended aloud, against questions you did not write1 available, none done
Recalled cold, a week later, without notes1 scheduled, none done

The proof

document-extraction

Extraction over genuinely messy source documents, scored against a parser baseline on the same inputs.

What it has to contain

Extraction over genuinely messy documents, not clean samples
Scored against a non-vision parser baseline on identical inputs
A case where the vision model loses, with the reason

Where it stops working. Not established yet. Anyone can ship a demo; the boundary is the part that is worth reading, so this claim is not earned until it is written down.

Skills underneath

Vision-language models
Document understanding

5 assessed items across the specified courses evidence these, 0 done.