Cyber threats are constantly evolving. Extracting actionable insights from unstructured Cyber Threat Intelligence (CTI) data is essential to guide cybersecurity decisions. Increasingly, organizations like Microsoft, Trend Micro, and CrowdStrike are using generative AI to facilitate CTI extraction. This paper addresses the challenge of automating the extraction of actionable CTI using advancements in Large Language Models (LLMs) and Knowledge Graphs (KGs). We explore the application of state-of-the-art open-source LLMs, including the Llama 2 series, Mistral 7B Instruct, and Zephyr for extracting meaningful triples from CTI texts. Our methodolo
Fieblinger, Romy, Alam, Md Tanvirul, Rastogi, Nidhi
Journal of endovascular therapy (2024). doi:10.1177/15266028241295563
Hatzl, Johannes, Uhl, Christian, Barb, Alexandru, Henning, Daniel, Fiering, Jonathan, El-Sanosy, Edris, Cuypers, Philippe W. M., Böckler, Dittmar, Zephyr Study Group Collaborators
Research paper by Pramit Dutta and collaborators. arXiv record dated 2026-08-15. Research area: Computer vision.
Pramit Dutta, Jenita Manokaran, Richa Mittal, Ryan Appleby, Eranga Ukwatta
Abstract:OLONGAPO CITY THE PROBLEM AND ITS BACKGROUND 1.1 Background of the Study Archiving all academic papers of GCCCS students, Managing and accessing academic projects like theses and capstone papers is a growing challenge for schools and colleges. Physical storage systems are inefficient, requiring increasing space, and are vulnera ble to deterioration over time. With the rising number of submissions each year, locating specific records becomes difficult, making archives harder to manage and less accessible for students, faculty, researchers, and future researchers. Jomarie Del Rosario BSIT 4 B, Papasa yan ak o pa!!!!!!!!!!!!! Blessed Me
Zephyr Spirit
Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, prognose, and intervene on human disease. For AI models to be used clinically, they need to be made safe, reproducible and robust, and the underlying software framework must be aware of the particularities (e.g. geometry, physiology, physics) of medical data being processed. This work introduces MONAI, a freely available, community-supported, and consortium-led PyTorch-based framework for deep learning in healthcare. MONAI extends PyTorch to support medical dat
Cardoso, M. Jorge, Li, Wenqi, Brown, Richard, Ma, Nic, Kerfoot, Eric, Wang, Yiheng, Murrey, Benjamin, Myronenko, Andriy, Zhao, Can, Yang, Dong, Nath, Vishwesh, He, Yufan, Xu, Ziyue, Hatamizadeh, Ali, Zhu, Wentao, Liu, Yun, Zheng, Mingxin, Tang, Yucheng, Yang, Isaac, Zephyr, Michael, Hashemian, Behrooz, Alle, Sachidanand, Darestani, Mohammad Zalbagi, Budd, Charlie, Modat, Marc, Vercauteren, Tom, Wang, Guotai, Li, Yiwen, Hu, Yipeng, Fu, Yunguan, Gorman, Benjamin, Johnson, Hans, Genereaux, Brad, Er
Research paper by Abdurrahman Odabaşı and collaborators. Published 2025-01-30. Topics: zero-shot, few-shot learning, LLM-as-a-judge, GPT-3.5-Turbo, GPT-4.
Abdurrahman Odabaşı, Göksel Biricik
Research paper by Vishwesh Nath and collaborators. arXiv record dated 2025-03-04. Research area: Computer vision.
Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Yee Man Law, Benjamin Simon, Stephanie Harmon, Stephen Aylward, Marc Edgar, Michael Zephyr, Song Han, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
Research paper by Fengfei Yu and collaborators. arXiv record dated 2026-10-19. Research area: Machine learning.
Fengfei Yu, Marshall Fisher, Isadora White, Sumanth Varambally, Yasaman Jafari, Shivam Yadav, Samuel M. Bartlett, Shawn Roj, Benjamin J. Moore, Michael D. Warner, Luyu Han, Zhirui Xia, Duncan Watson-Parris, Taylor Berg-Kirkpatrick, Yian Ma, Rose Yu
Research paper by Sumanth Varambally and collaborators. arXiv record dated 2026-03-16. Research area: Artificial intelligence.
Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva Rühling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu
