jev-papers
1,000 arXiv AI papers classified with one Jev decision each, then checked against an LLM judge.
CA clean typed decision with low volume or low value, or too vague to act on.2.65
Key facts
- Vertical
- Research & science
- Function
- Research & education
- Status
- Seen in the wild
- Volume
- occasional
- Value
- meaningful
- Risk
- low
- Evidence
- built and shown
- Flags
- None
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “jev-papers”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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