Carnegie Mellon University

Natural Language Processing & Large Language Models

Natural language processing (NLP) extracts information from large amounts of unstructured texts, making it possible to build statistical models using text data. Faculty leverage NLP techniques in interdisciplinary problems such as understanding the discourse of war in social media posts to comparing styles of writing in student reports. Additionally, faculty are actively engaged in research with large language models (LLMs), both as tools for understanding text and to study the text generated by LLMs.

Department Members with this Research Interest

3 bios displayed.

Alex Reinhart

Alex Reinhart

Associate Teaching Professor

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Ron Yurko

Ron Yurko

Assistant Teaching Professor

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