Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) like ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be further improved by training on large domain-specific […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) such as ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be improved by training on extensive domain-specific […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent advancements in large language models (LLMs) such as ChatGPT and LLaMA have hinted at their potential to revolutionize medical applications, yet their application in clinical settings often reveals limitations due to a lack of […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent advancements in large language models (LLMs) like ChatGPT and LLaMA show promise in medical applications, yet challenges remain in medical language comprehension. This study presents Me-LLaMA, a new medical LLM family based on open-source […]
Kavli Affiliate: Lars Bildsten | First 5 Authors: Logan J. Prust, Hila Glanz, Lars Bildsten, Hagai B. Perets, Friedrich K. Roepke | Summary: We carry out three-dimensional computations of the accretion rate onto an object (of size $R_{rm sink}$ and mass $m$) as it moves through a uniform medium at a subsonic speed $v_{infty}$. The […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Ta-Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomir Mech | Summary: Current controls over diffusion models (e.g., through text or ControlNet) for image generation fall short in recognizing abstract, continuous attributes like illumination direction or non-rigid shape change. In this paper, we present an approach for […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou | Summary: Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems. In the context of intelligent vehicles, leveraging the power of foundation models […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou | Summary: Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems. In the context of intelligent vehicles, leveraging the power of foundation models […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Lixing Xiao, Ruixiao Shi, Xiaoyang Tang, Yi Zhou, | Summary: Previous works on object detection have achieved high accuracy in closed-set scenarios, but their performance in open-world scenarios is not satisfactory. One of the challenging open-world problems is corner case detection in autonomous driving. Existing detectors struggle […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Vineet Kumar Sharma, Alana Okullo, Jalen Garner, Cheng Peng, Rajan Plumley | Summary: Recent years have witnessed an enormous rise in research interest in magnetic skyrmions owing to their capability to improve over contemporary spintronic devices. An overview of the various magnetic interactions responsible for the formation […]