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Real-world collaboration can now be analyzed through a rich, multimodal lens that captures the intricacies of human interaction in cooking tasks.
Proactive deadlock avoidance in multi-agent navigation could revolutionize real-time pathfinding efficiency, slashing flowtime overhead dramatically.
CoreMem achieves a remarkable +4.51 percentage point improvement in open-domain reasoning accuracy while operating within a strict 8 GB VRAM budget.
Spatial foundation models aren't as "all-round" as we thought: SpatialBench reveals surprising generalization gaps and the critical importance of domain alignment over naive data scaling.
MEV searchers beware: a new, low-cost DoS attack can cripple transaction bundling services like Flashbots by exploiting inter-transaction dependencies and atomic block inclusion.
LLMs with induced personalities don't just *sound* different – they exhibit measurable and predictable cognitive performance changes, mirroring human psychology.
Scaling robot learning with human data isn't a simple "more is better" equation; alignment with robot learning objectives is key.
