AwesomeJev.

Jev decision model research topics

Focused notes on option-label bias, audio decisions and graph evaluation, connecting primary research with practical diagnostics and evidence limits.

Each note gives a direct answer, primary references, proposed checks and review scope. Author-reported findings are distinguished from evaluation procedures proposed by this project.

Option-label bias in Jev-style decision models

How option names, definitions and prompt rendering affect typed decisions, with three distinct studies and a practical diagnostic.

AudioJev: audio decisions, order calibration and release limits

Read AudioJev’s paper, checkpoint and inference library together: candidate-order stability, seed-specific results, data overlap and separate licenses.

GraphDecisionBench: evaluating Jev on graph decisions

Understand graph structure, graph-text evidence and sequential construction as separate tasks, with versioned sources and reproduction limits.