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VLMs still struggle to grasp spatial relationships in dynamic sports scenes, as evidenced by a new benchmark revealing a significant human-AI performance gap.
Unleashing heterogeneous robot swarms: a new data-driven method achieves cooperative localization even with sparse, unidirectional measurements, sidestepping restrictive geometric constraints.
Instruction-based image editing models still struggle to edit small objects, with a new benchmark revealing significant performance gaps despite progress on existing benchmarks.
ARLArena reveals the hidden instability of agentic RL, offering a path to more reliable LLM-based agents via a novel stable policy optimization method (SAMPO).
Ditch the quadratic cost and black-box nature of neural operators: Gaussian Particle Operators offer interpretable, near-linear PDE learning by representing fields as learned Gaussian atoms.
Achieve state-of-the-art LDCT image restoration with a Green Learning approach that's mathematically transparent, computationally efficient, and memory-friendly.
Achieve up to 5.48x speedup in merging proximity graph indexes for AKNN search by intelligently exploiting structural information, outperforming naive reconstruction by nearly 10x.
By randomly attending to different time patches and progressively mixing scales, SEMixer achieves state-of-the-art long-term time series forecasting with a lightweight architecture.
Stop letting noisy, low-predictability data ruin your time series models: APTF dynamically identifies and penalizes these samples during training, leading to improved forecasting and classification accuracy.
Forget small, curated datasets: DeepVision-103K unlocks stronger multimodal reasoning in LMMs via diverse, verifiable visual math problems.
This consensus provides expert recommendations for DAA-HJA in elderly patients with FNF, addressing key clinical dilemmas and promoting standardized surgical techniques.
Key contribution not extracted.
This review highlights the unique challenges in managing PJI after tumor megaprosthetic reconstruction, emphasizing the need for tailored diagnostic and treatment strategies due to the elevated risk compared to standard arthroplasty.
