Me LLaMA: Foundation Large Language Models for Medical Applications

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 […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

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 […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

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 […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

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 […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Tianwei Zhang, Jiwei Li | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Reverse Engineering of Feedforward Cortical-Hippocampal Microcircuits for Modelling Neural Network Function and Dysfunction

Kavli Affiliate: Menno Witter | Authors: Katrine Sjaastad Hanssen, Nicolai Winter-Hjelm, Salome Nora Niethammer, Asgeir Kobro-Flatmoen, Menno P. Witter, Axel Sandvig and Ioanna Sandvig | Summary: Engineered biological neural networks are indispensable models for investigation of neural function and dysfunction from the subcellular to the network level. Notably, advanced neuro-engineering approaches are of significant interest […]


Continue.. Reverse Engineering of Feedforward Cortical-Hippocampal Microcircuits for Modelling Neural Network Function and Dysfunction

Workforce Development in Astronomy and Astroinformatics

Kavli Affiliate: Rana Adhikari | First 5 Authors: Kartik Sheth, Kevin Govender, Vanessa McBride, Laura Trouille, Puji Irawati | Summary: Policy Brief on "Workforce Development in Astronomy and Astroinformatics", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinformatics for Sustainable Development held on 6-7 July 2023. The […]


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Numerical Challenges in Modeling Gravothermal Collapse in Self-Interacting Dark Matter Halos

Igor Palubski, Oren Slone, Manoj Kaplinghat, Mariangela Lisanti, Fangzhou Jiang | Summary: [[{“value”:”When dark matter has a large cross section for self scattering, halos can undergo a process known as gravothermal core collapse, where the inner core rapidly increases in density and temperature. To date, several methods have been used to implement Self-Interacting Dark Matter~(SIDM) […]


Continue.. Numerical Challenges in Modeling Gravothermal Collapse in Self-Interacting Dark Matter Halos