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Found 4 papers, 2 papers with code
Testing LLM performance on the Physics GRE: some observations
With the recent developments in large language models (LLMs) and their widespread availability through open source models and/or low-cost APIs, several exciting products and applications are emerging, many of which are in the field of STEM educational technology for K-12 and university students.
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Our framework involves independent dense prediction of object category and part attributes which increases scalability and reduces task complexity compared to the monolithic label space counterpart.
An active inference model of collective intelligence
In this paper we use the Active Inference Formulation (AIF), a framework for explaining the behavior of any non-equilibrium steady state system at any scale, to posit a minimal agent-based model that simulates the relationship between local individual-level interaction and collective intelligence (operationalized as system-level performance).
Managing Congregations of People by Predicting Likelihood of a Person being Infected by a Contagious Disease like the COVID Virus
Can we have a way to understand the risk of a person being infected as compared to another person so that we can make decisions of segregating the two people or to decline entry to a person?
