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 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 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: 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 […]
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 […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Shijie Lin, Xiang Zhang, Lei Yang, Lei Yu, Bin Zhou | Summary: Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives and serve as a visual […]
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 […]
Kavli Affiliate: Rana Adhikari | 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 discipline of astronomy and astroinformatics is dynamically evolving thereby creating a compelling opportunity to foster […]
Kavli Affiliate: Peter Ford | Summary:The standard way to study Large Language Models (LLMs) with benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multiple choice questions). However, due to LLMs’ highly context-dependent nature, conclusions from such minimal-context evaluations may be little informative about the model’s behavior in deployment […]
Kavli Affiliate: Ke Wang | First 5 Authors: Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu, Michael Aygur, Sithamparanathan Kandeepan | Summary: This research paper delves into interference mitigation within Low Earth Orbit (LEO) satellite constellations, particularly when operating under constraints of limited radio environment information. Leveraging cognitive capabilities facilitated by the Radio Environment Map (REM), […]