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20242026
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cs.CV2026

Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning

Yudong Han, Yong Wang, Zaiquan Yang +4

Reinforcement learning with verifiable rewards has substantially advanced multimodal reasoning, yet it remains fundamentally limited by ambiguous token-level credit assignment. Whi…

cs.CV2026

The Right Future for Action: Learning Action-Relevant Predictive States in World Action Models

Qiwen Gu, Jifan Li, Bingjie Gao +4

Generation-free world action models (WAMs) retain future-video prediction during training but act from internal video features at inference, leaving unclear what these features sho…

cs.CV2026

Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation

Yingmao Miao, Pengfei Zhang, Chaoran Xu +5

Video generators build long videos by composing shorter parts, either by generating segments one after another or by autoregressively extending chunks. Each new part usually depend…

cs.CV2026

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning

Yudong Han, Yong Wang, Zaiquan Yang +3

Multimodal latent reasoning has emerged as a promising paradigm that replaces explicit Chain-of-Thought (CoT) decoding with implicit feature propagation, simultaneously enhancing r…

cs.CV2024

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective

Hailang Huang, Yong Wang, Zixuan Huang +4

Large Multimodal Models (LMMs) demonstrate impressive capabilities. However, current benchmarks predominantly focus on image comprehension in specific domains, and these benchmarks…