Despite exceptional capabilities in knowledge-intensive tasks, Large Language Models (LLMs) face a critical gap in understanding how they internalize new knowledge, particularly how to structurally ...

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One of the most notable findings of the study is the efficiency of reasoning training. Unlike traditional approaches that ...

Here's what I've learned through two years of testing ChatGPT's coding assistance - and getting a lot more programming done ...

Abstract: In this paper, we assess the visualization literacy of two prominent Large Language Models (LLMs): OpenAI's Generative Pretrained Transformers (GPT), the backend of ChatGPT, and Google's ...

The model produces undesirable output about 20 percent of the time. That’s a higher frequency of nasty output than is ...

The National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science user facility at DOE's ...