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Hang Hua

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Preprint Sep 2026

Honeycomb: Constant-Size Scene Memory Representation for Video World Models

Video world models require persistent scene memory to maintain consistency during long-horizon video generation. Existing spatial memories accumulate RGB observations or latent features, increasing storage requirements as generation proceeds. We introduce Honeycomb, a video world model built on HexMemory, our proposed...

J. Shi, Kai-Chen Zhou, Haoyu Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

On the Token Value Inequality in Efficient Reasoning

This work presents a diagnostic and optimization framework grounded in a key empirical finding: the value of tokens within a CoT reasoning sequence is highly non-uniform, and this non-uniformity can be effectively characterized by token-level log probability signals.

Run-Jia Zeng, Hang Hua, Yiyang Liu et al. · 0 citations
Preprint Aug 2026

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing

VideoArgus is introduced, a unified rubric-grounded framework covering five video generation and editing settings that achieves higher within-input Spearman and Kendall correlations with human judgments than the corresponding benchmark-specific evaluators across all five tasks.

Ziyun Zeng, Zi-Xuan Wang, Yongsheng Yu et al. · 5 citations

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