Adapting large language models for specialized domains remains challenging, especially in fields that require spatial reasoning and structured problem resolution, ...
Key points: Every year, we continue to see the K-12 education, from the increase in education at home to the ...
Machine learning for predictive modeling aims to accurately forecast outcomes based on input data. One of the main challenges in ...
Web browsing agents are based on the creation of autonomous systems capable of performing tasks such as searching, purchasing, and ...
In the rapidly advancing field of computer vision, the development of models capable of learning and adapting through minimal human ...
In the realm of 3D scene understanding, a major challenge arises due to the irregular and sparse nature of 3D ...
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