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Found 6 papers, 1 papers with code
Streamlining Biomedical Research with Specialized LLMs
In this paper, we propose a novel system that integrates state-of-the-art, domain-specific large language models with advanced information retrieval techniques to deliver comprehensive and context-aware responses.
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by minimizing the need for complex feature engineering.
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume
Existing pseudo label generation methods for point weakly supervised object detection are inadequate in low data volume and dense object detection tasks.
Using Deep Neural Network for Android Malware Detection
The pervasiveness of the Android operating system, with the availability of applications almost for everything, is readily accessible in the official Google play store or a dozen alternative third-party markets.
Android Malware Detection Using Autoencoder
Smartphones have become an intrinsic part of human's life.
A Review on The Use of Deep Learning in Android Malware Detection
Android is the predominant mobile operating system for the past few years.
