The paper focuses on the use of Transformer-based language models, specifically BERT and (Chat)GPT, in detecting semantic changes in language over time. This is a crucial aspect in understanding historical…
Continue readingThe article by Matt-Heun Hong and Anamaria Crisan presents a study on Generative Large Language Models (LLMs) and their potential in data analysis. Specifically, the study focuses on the use…
Continue readingThe article introduces 3D-GPT, a framework that uses large language models (LLMs) for instruction-driven 3D modeling. This approach simplifies the complex and time-consuming 3D modeling process. The 3D-GPT framework includes…
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