87 citations · 184 across the 7 of their papers we have counts for
7 papers
DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization
Lizhou Fan, Sara Lafia, Lingyao Li +2
Data users need relevant context and research expertise to effectively search for and identify relevant datasets. Leading data providers, such as the Inter-university Consortium fo…
ChatGPT in education: A discourse analysis of worries and concerns on social media
Lingyao Li, Zihui Ma, Lizhou Fan +3
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and conce…
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
Lingyao Li, Lizhou Fan, Shubham Atreja +1
Harmful content is pervasive on social media, poisoning online communities and negatively impacting participation. A common approach to address this issue is to develop detection m…
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma +3
Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become…
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature
Sara Lafia, Lizhou Fan, Libby Hemphill
Discovering authoritative links between publications and the datasets that they use can be a labor-intensive process. We introduce a natural language processing pipeline that retri…
Subdivisions and Crossroads: Identifying Hidden Community Structures in a Data Archive's Citation Network
Sara Lafia, Lizhou Fan, Andrea Thomer +1
Data archives are an important source of high quality data in many fields, making them ideal sites to study data reuse. By studying data reuse through citation networks, we are abl…
Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature
Lizhou Fan, Sara Lafia, David Bleckley +3
Data citations provide a foundation for studying research data impact. Collecting and managing data citations is a new frontier in archival science and scholarly communication. How…