Introduces CaST-Bench, a dataset of 2,066 causal questions on 1,015 videos with annotated causal chains and metrics to evaluate VLMs on spatio-temporal causal reasoning.
Video-chatgpt: Towards detailed video un- derstanding via large vision and language models
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OASIS organizes streaming video into hierarchical events and retrieves memory on-demand via intent-driven refinement to improve long-horizon accuracy and compositional reasoning with bounded token costs.
Video LMMs name objects and actions reliably but fail to detect the precise frames and locations of contact and release events, revealing shortcut learning instead of physical grounding.
citing papers explorer
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CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering
Introduces CaST-Bench, a dataset of 2,066 causal questions on 1,015 videos with annotated causal chains and metrics to evaluate VLMs on spatio-temporal causal reasoning.
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OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning
OASIS organizes streaming video into hierarchical events and retrieves memory on-demand via intent-driven refinement to improve long-horizon accuracy and compositional reasoning with bounded token costs.
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Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release Detection
Video LMMs name objects and actions reliably but fail to detect the precise frames and locations of contact and release events, revealing shortcut learning instead of physical grounding.