Post
876
JEV Ecosystems โ every answer-verification vendor publishes a benchmark, and every one of them wins it. So we ran 13 of them on one test set: 2,018 items, identical labels, same grading code.
๐ฏ Leaderboard
mayafree/typed-decision-leaderboard
๐ Full write-up (method, mechanism, limits)
https://huggingface.co/blog/mayafree/jve-ecosystems
๐งช Try it โ ZTC, JEV and Laya on the same input, side by side
mayafree/verifier-playground
Three results
1๏ธโฃ Only three systems clear 0.70 โ ZTC (397B) 0.7364 ยท JEV 0.7350 ยท ZTC (27B) 0.7282. First and second differ by 0.0014, so no rank is assigned.
2๏ธโฃ A baseline that reads nothing but answer length and formatting scores 0.7036. Eight of the thirteen fall below it. A leaderboard without that line is flattering its entrants.
3๏ธโฃ Bigger does not win. On scientific reasoning, 27B 0.7410 beats 397B 0.6287 โ a model fourteen times larger scoring 0.11 lower.
And AUC is not the number you deploy on.
Same 20% retry budget, wired into an agent loop, against a 74.83% no-gate baseline:
ZTC +1.34 pp ยท JEV โ0.07 pp ยท random โ0.25 pp.
The mechanism is the interesting part. Re-answering is double-edged: 38% of wrong answers get fixed, and 30% of right answers get broken. So a gate is paid for by precision, not recall. Of the 403 items JEV routed for a retry, 216 were already correct.
0.0014 AUC apart; 1.4 points of end-to-end agent accuracy apart.
Scores, labels and grading code are published in full. Four public reproductions that would not run from their released artefacts are listed too, with the failure and a link, and no score.
Don't take the table's word for it โ paste your own case into the playground and watch all three answer at once. Want a system added? Open a discussion on the Space.
๐ฏ Leaderboard
mayafree/typed-decision-leaderboard
๐ Full write-up (method, mechanism, limits)
https://huggingface.co/blog/mayafree/jve-ecosystems
๐งช Try it โ ZTC, JEV and Laya on the same input, side by side
mayafree/verifier-playground
Three results
1๏ธโฃ Only three systems clear 0.70 โ ZTC (397B) 0.7364 ยท JEV 0.7350 ยท ZTC (27B) 0.7282. First and second differ by 0.0014, so no rank is assigned.
2๏ธโฃ A baseline that reads nothing but answer length and formatting scores 0.7036. Eight of the thirteen fall below it. A leaderboard without that line is flattering its entrants.
3๏ธโฃ Bigger does not win. On scientific reasoning, 27B 0.7410 beats 397B 0.6287 โ a model fourteen times larger scoring 0.11 lower.
And AUC is not the number you deploy on.
Same 20% retry budget, wired into an agent loop, against a 74.83% no-gate baseline:
ZTC +1.34 pp ยท JEV โ0.07 pp ยท random โ0.25 pp.
The mechanism is the interesting part. Re-answering is double-edged: 38% of wrong answers get fixed, and 30% of right answers get broken. So a gate is paid for by precision, not recall. Of the 403 items JEV routed for a retry, 216 were already correct.
0.0014 AUC apart; 1.4 points of end-to-end agent accuracy apart.
Scores, labels and grading code are published in full. Four public reproductions that would not run from their released artefacts are listed too, with the failure and a link, and no score.
Don't take the table's word for it โ paste your own case into the playground and watch all three answer at once. Want a system added? Open a discussion on the Space.
