A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...
A group of researchers from Nvidia have developed a new technique called Tied-LoRA, which aims to improve the parameter efficiency of the Low-rank Adaptation...
Humans can extrapolate and learn to solve variations of a manipulation task if the objects involved have varied visual or physical attributes, given just...
Evaluating large-scale language models (LLMs) in handling new knowledge is challenging. Researchers from Peking University introduced KnowGen, a method to generate new knowledge by...
In recent years, there have been exceptional advancements in Artificial Intelligence, with many new advanced models being introduced, especially in NLP and Computer Vision....
BRANCH-SOLVE-MERGE (BSM) is a program for enhancing Large Language Models (LLMs) in complex natural language tasks. BSM includes branching, solving, and merging modules to...
Cartoon animation has seen significant progress since its beginnings in the early 1900s when animators would draw individual frames by hand on paper. While...
Large Language Models (LLMs) are great at high-level planning but need to help master low-level tasks like pen spinning. However, a team of researchers...
In the 1920s, numerical weather prediction (NWP) emerged. They are pervasive and help with economic planning in important industries, including transportation, logistics, agriculture, and...
Probabilistic diffusion models, a cutting-edge category of generative models, have become a critical point in the research landscape, particularly for tasks related to computer...
Transformer-based Language Models have uplifted the domain of Natural Language Processing (NLP) in recent years. Their capacity to comprehend and produce text that is...
By producing high-quality and varied outcomes, text-to-image diffusion models trained on large-scale data have considerably dominated generative tasks. In a recently developed trend, typical...
Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation,...
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