Kavli Affiliate: Masahiro Nozaki | Summary:In this paper, we numerically investigate whether quantum thermalization occurs during the time evolution induced by a non-local Hamiltonian whose spectra exhibit integrability. This non-local and integrable Hamiltonian is constructed by combining two types of integrable Hamiltonians. From the time dependence of entanglement entropy and mutual information, we find that […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Taojun Hu, , , | Summary: Publication bias (PB) is one of the most vital threats to the accuracy of meta-analysis. Adjustment or sensitivity analysis based on selection models, which describe the probability of a study being published, provide a more objective evaluation of PB […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Shaocong Ma, , , | Summary: The goal of robust constrained reinforcement learning (RL) is to optimize an agent’s performance under the worst-case model uncertainty while satisfying safety or resource constraints. In this paper, we demonstrate that strong duality does not generally hold in robust […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Shaocong Ma, , , | Summary: The goal of robust constrained reinforcement learning (RL) is to optimize an agent’s performance under the worst-case model uncertainty while satisfying safety or resource constraints. In this paper, we demonstrate that strong duality does not generally hold in robust […]
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 […]
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 […]
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 […]
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 […]
Kavli Affiliate: Long Zhang | First 5 Authors: Fei Huang, Fei Huang, , , | Summary: GeoGPT is an open large language model system built to advance research in the geosciences. To enhance its domain-specific capabilities, we integrated Retrieval Augmented Generation(RAG), which augments model outputs with relevant information retrieved from an external knowledge source. GeoGPT […]
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 […]