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A self-evolving critic can reduce confidence estimation errors in LLM agents by up to 54% without requiring any training or ground truth labels.
Jointly estimating the B0 field and distortion-free images directly from k-space data leads to unprecedented improvements in MRI accuracy and detail fidelity, especially in challenging high b-value scenarios.
Scaling up robot data and closing the loop with state decoding and automated reward scoring allows a 2B parameter video world simulator to outperform larger, dedicated robotic world models in real-world policy transfer.
Current multimodal LLMs struggle to understand scientific spectra, but a new benchmark and data processing technique could change that.
Achieve state-of-the-art hyperspectral image fusion by ditching handcrafted assumptions and protocols for a generalizable flow-matching framework.
Finally, a real-time 4D world simulator exists that allows for consistent and controllable scene evolution from a single monocular video.
Unlock hidden app functionality: EpiDroid's dependency-aware recomposition boosts code coverage by 3-4x compared to standard exploration, even with the same budget.
