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The Hong Kong University of Science and Technology
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StreamMind's innovative architecture not only enhances long-horizon video understanding but also slashes query-to-answer latency, setting a new standard for multimodal agent performance.
Tool-using SQL agents can learn to be more efficient and accurate by getting feedback on *how* they reason, not just *what* they output.
The fragmented field of world modeling can now be unified under a "levels x laws" taxonomy, revealing critical gaps in autonomous model revision and decision-centric evaluation.
Current LLMs and VLMs struggle with multi-step reasoning in long videos, often failing to maintain temporal coherence and procedural validity, as revealed by a new benchmark of hour-long narratives.
