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Watch-Think-Interact (WTI), a closed-loop framework for multi-question streaming video reasoning that maintains compact natural-language memory entries tagged with source-video time ranges, achieves state-of-the-art aggregate performance among the compared open-source streaming baselines.
Historical photographs and other canonical images can now be edited seamlessly with a single instruction, often leaving no reliable pixel-level trace. In such cases, the only evidence of manipulation may be a fact about what the image depicts. Existing benchmarks instead rely on generator artefacts, image-caption incon...
This work introduces \methodname{}, an adversarial reinforcement learning framework that pits two heterogeneous models against each other, and shows how a detector trained within this loop improves monotonically across rounds on each of three external benchmarks.
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