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OATML, University of Oxford
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Keye-VL-2.0 achieves lossless processing of 256K video contexts, revolutionizing long-video understanding and agent collaboration.
Superficial rephrasing can inflate AI peer review scores by over 1.3 points, revealing a dangerous vulnerability in AI-assisted scientific evaluation.
ISPO reduces critical reasoning failures in RLVR by transforming reward structures, leading to superior performance on complex reasoning tasks.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
SkillComposer enables language models to self-evolve skills in real-time, achieving up to +4.5 improvements on agent tasks compared to larger models.
LLMs' reliance on specific knowledge sources during question answering can now be reliably estimated without extensive perturbation, enabling better error detection and risk screening.
Naive distributed inference on edge devices can be *slower* than local execution due to CPU-GPU communication bottlenecks, but a profiling-driven adaptive approach can flip the script for significant gains.
Compressing 3D Gaussian splats by operating on intermediate feature representations slashes storage by an order of magnitude without sacrificing rendering quality.
