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Significant advancements in large language models (LLMs) have inspired the development of multimodal large language models (MLLMs). Early MLLM efforts, such as LLaVA, MiniGPT-4, and InstructBLIP, demonstrate notable multimodal understanding…
by Elena Goranova, Alexander Gungov, Sergio Gianesini, Alexander Lazarov ABSTRACT: A constant growth in artificial intelligence (AI) use has been proposed in the different professional fields, including medicine. Although currently…
Imagine a world where the fate of your freedom rests not in the hands of a judge or jury but in the cold, calculated circuits of a machine. A world…
Generating accurate and aesthetically appealing visual texts in text-to-image generation models presents a significant challenge. While diffusion-based models have achieved success in creating diverse and high-quality images, they often struggle…
Information Retrieval (IR) systems for search and recommendations often utilize Learning-to-Rank (LTR) solutions to prioritize relevant items for user queries. These models heavily depend on user interaction features, such as…
Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.
While writing the code for any program or algorithm, developers can struggle to fill gaps in incomplete code and often make mistakes while trying to fit new pieces into existing…
A new research collaboration between Singapore and China has proposed a method for attacking the popular synthesis method 3D Gaussian Splatting (3DGS). The new attack method uses crafted source data…
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location, values, and more. Humans can…
Large language models (LLMs) have emerged as powerful tools capable of performing complex tasks beyond text generation, including reasoning, tool learning, and code generation. These advancements have sparked significant interest…