Video world models learn how visual environments evolve by predicting missing or future content. However, physical-state information can provide useful context for predicting how environments evolve. Prior work incorporates this information through different mechanisms: domain-specific physical laws can complicate mult...
Shen-Yi Li, Zi-Yang Zhang, Wen Wu et al.· 0 citations
Time-series analysis is increasingly studied in multimodal settings, yet most benchmarks pair temporal signals with text or with visualizations derived from the same signal. This leaves open whether multimodal large language models (MLLMs) can integrate time series with real-world visual evidence. We introduce MMTA (mu...
Zi-Yang Zhang, Shen-Yi Li, Yi-Lin Wang et al.· 0 citations
This work introduces the Multi-control Mixed Audio Generation benchmark, a systematic evaluation protocol that measures acoustic fidelity, speech quality, semantic alignment, and temporal accuracy, and establishes MMAG as a comprehensive benchmark for future research.
Zihao Zheng, Xuenan Xu, Jiahao Mei et al.· 0 citations
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