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FireWorldBench evaluates whether models can infer latent physical states, explain underlying mechanisms, forecast coupled-field evolution, and assess intervention consequences from multimodal partial observations, providing a challenging testbed for complex physical world intelligence.
STAG is proposed, a dual-branch framework for gene-aware expression prediction and spatial context modeling that leverages gene semantic information as biological guidance by encoding gene names with a foundation model, enabling coordinated gene-aware interactions beyond independent gene prediction.
StateTrace is proposed, a novel object-centric framework that endows VideoLLMs with an explicit mechanism for hidden state reasoning in long videos, and builds a reusable spatiotemporal state memory that organizes object trajectories, inter-object relations, and state-transition events into a structured reasoning subst...
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