DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
DiVeR reweights VLA verifier training toward decision-critical states, improving robot task success with little inference overhead.
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DiVeR reweights VLA verifier training toward decision-critical states, improving robot task success with little inference overhead.
SciGen-Verifier explains and corrects scientific image-generation errors, competing with much larger proprietary models.

Contrastive-LM released CLM-8B, an open model that scores agent actions up to 9× faster than Jev.
Contrastive-LM released CLM-v0.1-8B, a Qwen3-8B contrastive model for fast state-action scoring and agent verification.
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