Skip to content

Article

Presentation Sensitivity in Typed Decision Models for Subjective Text Evaluation

Controlled audit of presentation sensitivity in typed decision models, comparing Jev, Clef Flash, and Perplexity Decider across native choice and score interfaces on 9,000 multiply annotated humor, helpfulness, and summarization items.
Format
Article
Reading time
2 min
Published by
Community
Added
Nov 2026

Highlights

  • Collects 702,000 judgments across six datasets with 9,000 multiply annotated items.
  • Jev's second-position probability advantage reaches 6.11 percentage points on summaries.
  • Reversing reader endorsements changes Perplexity's selected humor text on 40.40% of pairs.
  • Rejection framing reduces Clef's summary agreement with human preferences by 23.36 points.
  • Rating formats shift score levels while often preserving rankings.

Questions about this entry

Short answers drawn from the linked project or page.

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai