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OmniVerifier-C1: Decomposed Graded Verifier for Rule-Governed Generative World Modeling

Paper recorded by Signals 4 on 2026-10-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CL · 自然语言处理 · first seen 2026-10-16

Abstract

Generative visual verifiers play a crucial role in advancing multimodal intelligence. To enhance the robustness of visual verifiers in complex multimodal scenarios involving compositional requirements, we move beyond conventional binary verifiers that produce only True/False discrete judgments and introduce a verifier that automatically decomposes complex prompts or environmental rules into fine-g

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#230 most recent of 660 cs.CL papers we have recorded · ↑ newer: Not Every Mention Is a Claim: Rethinking Object Hallucination Detectio · ↓ older: Training Reasoning Models to Generate Diverse Scientific Ideas
Cite this page: OmniVerifier-C1: Decomposed Graded Verifier for Rule-Governed Generative World Modeling: the #230 most recent of 660 cs.CL papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/omniverifier-c1-decomposed-graded-verifier-for-rule-governed-generative-world-mo.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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