Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ruiqi Wu, Ruiqi Wu, , , | Summary: Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities with reinforcement learning paradigm. Although several multimodal reasoning models have been explored in the medical domain, most of them focus exclusively on basic reasoning, which refers to shallow […]


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Integrated magneto-optic based magnetometer: classical and quantum limits

Kavli Affiliate: John E. Bowers | First 5 Authors: Paolo Pintus, Paolo Pintus, , , | Summary: Magnetic field sensors with high sensitivity and spatial resolution have profoundly impacted diverse applications ranging from geo-positioning and navigation to medical imaging, materials science, and space exploration. However, the use of high-precision magnetometers is often limited due to […]


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CSTEapp: An interactive R-Shiny application of the covariate-specific treatment effect curve for visualizing individualized treatment rule

Kavli Affiliate: Yi Zhou | First 5 Authors: , , , , | Summary: In precision medicine, deriving the individualized treatment rule (ITR) is crucial for recommending the optimal treatment based on patients’ baseline covariates. The covariate-specific treatment effect (CSTE) curve presents a graphical method to visualize an ITR within a causal inference framework. Recent […]


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Schrödingerization for quantum linear systems problems

Kavli Affiliate: Long Zhang | First 5 Authors: Yin Yang, Yin Yang, , , | Summary: We develop a quantum algorithm for linear algebraic equations Ax=b from the perspective of Schr"odingerization-form problems, which are characterized by a system of linear convection equations in one higher dimension. When A is positive definite, the solution x can […]


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Autoregressive Typical Thermal States

Kavli Affiliate: Leon Balents | First 5 Authors: Tarun Advaith Kumar, Tarun Advaith Kumar, , , | Summary: A variety of generative neural networks recently adopted from machine learning have provided promising strategies for studying quantum matter. In particular, the success of autoregressive models in natural language processing has motivated their use as variational ans"atze, […]


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Mass Loss and Subsequent Thermal Evolution of Surviving Helium White Dwarfs Shocked by Thermonuclear Supernovae

Kavli Affiliate: Lars Bildsten | First 5 Authors: Tin Long Sunny Wong, Tin Long Sunny Wong, , , | Summary: Following a type Ia supernova (SN Ia) in a double white dwarf (WD) binary, a surviving WD companion leaves at its orbital velocity $approx 1$,000 – 3,000 km/s. The Gaia mission has discovered seven such […]


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Type IIb Supernova Progenitors in 3D: Variability and Episodic Mass Loss revealed by Radiation-Hydrodynamics Simulations

Kavli Affiliate: Lars Bildsten | First 5 Authors: Jared A. Goldberg, Jared A. Goldberg, , , | Summary: We present the first 3D Radiation-Hydrodynamics simulations of partially-stripped ($M_mathrmcoresim10M_odot$, $M_mathrmenvsim0.1-1M_odot$) Yellow Supergiant ($Lsim10^5$, $T_mathrmeffapprox5000-8000$K) envelopes, constructed with Athena++. These envelope models represent the progenitors of Type IIb supernovae (SNe-IIb), which have lost a substantial fraction of […]


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Episodic Memory Representation for Long-form Video Understanding

Kavli Affiliate: Long Zhang | First 5 Authors: Yun Wang, Yun Wang, , , | Summary: Video Large Language Models (Video-LLMs) excel at general video understanding but struggle with long-form videos due to context window limits. Consequently, recent approaches focus on keyframe retrieval, condensing lengthy videos into a small set of informative frames. Despite their […]


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Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Kaiwen Huang, Kaiwen Huang, , , | Summary: Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mean-teacher (MT) based semi-supervised methods utilize consistency regularization to effectively leverage valuable information from unlabeled data. However, […]


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Compass-Thinker-7B Technical Report

Kavli Affiliate: Long Zhang | First 5 Authors: Anxiang Zeng, Anxiang Zeng, , , | Summary: Recent R1-Zero-like research further demonstrates that reasoning extension has given large language models (LLMs) unprecedented reasoning capabilities, and Reinforcement Learning is the core technology to elicit its complex reasoning. However, conducting RL experiments directly on hyperscale models involves high […]


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