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Found 6 papers, 1 papers with code
Response: Emergent analogical reasoning in large language models
In their recent Nature Human Behaviour paper, "Emergent analogical reasoning in large language models," (Webb, Holyoak, and Lu, 2023) the authors argue that "large language models such as GPT-3 have acquired an emergent ability to find zero-shot solutions to a broad range of analogy problems."
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
We also demonstrate an approach for displaying information about authors, boosting the ability to understand the work of new, unfamiliar scholars.
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions.
Stem-ming the Tide: Predicting STEM attrition using student transcript data
In this paper, we detail our efforts to model and predict dropout from STEM fields using one of the largest known datasets used for research on students at a traditional campus setting.
Predicting Student Dropout in Higher Education
Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and over $9 billion is spent educating these students.
