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xiaorui638/Qwen3-VL-8B-ZwZ-S57-verify
Qwen3-VL-8B-ZwZ-S57-verify is a image-text-to-text model from xiaorui638. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GRPO-trained on 57,447 false-premise twin pairs (positive/negative, 2:1). Each negative asks about something absent from the image; the model must pick a premise-denial option rather than answer. The model emits expli…
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From the Hugging Face model README
GRPO-trained on 57,447 false-premise twin pairs (positive/negative, 2:1).
Each negative asks about something absent from the image; the model must pick a
premise-denial option rather than answer. The model emits explicit
<check>…</check><verdict>yes|no</verdict> steps before its answer.
gated_mult: acc * (0.5 + 0.5 * coverage) + 0.1 * format, where coverage is
the fraction of gold sub-questions covered by the model's emitted checks,
scored by an LLM judge (Qwen3-30B-A3B-Instruct-2507). 150 steps, rollout 384.
| metric | base | ZwZ-8B | plain GRPO | this model |
|---|---|---|---|---|
| ZTB-mcq paired (in-domain) | 11.20 | 7.22 | 39.34 | 43.83 |
| VERVE paired (in-domain) | 72.93 | 45.67 | 79.68 | 78.39 |
| DASH-B | 75.28 | 58.65 | 84.08 | 86.84 |
| DASH-B acc_no | 54.36 | 19.09 | 77.48 | 82.03 |
| mcq-OOD(10) mean | 65.35 | 68.34 | 65.88 | 66.44 |
Against ZwZ-8B (same base, trained on 74K pure positives): ZwZ leads the
visual-search cluster but is worse than the untrained base on every
discriminative axis — VERVE paired 45.67 vs base 72.93, DASH-B acc_no 19.09
vs 54.36. An all-positive recipe cannot refuse a false premise.
Use the verify v2.1 prompt. Under the default prompt in-domain paired drops to 30.53 — the checking behaviour is prompt-bound, not internalised.
Single seed. mme-realworld-lite is 8–10 points below base for every trained
arm here (uninvestigated denial-distractor over-transfer).