no code implementations • 24 Feb 2024 • Sadaf Ghaffari, Nikhil Krishnaswamy
In this paper, we present an exploration of LLMs' abilities to problem solve with physical reasoning in situated environments.
no code implementations • 22 Aug 2023 • Marcia Moraes, Sadaf Ghaffari, Yanye Luther, James Folkestad
We present an analysis of these models and discuss the potential use of ENA as a visualization to help instructors evaluating asynchronous online discussions.
no code implementations • 23 May 2023 • Sadaf Ghaffari, Nikhil Krishnaswamy
We present a novel method for using agent experiences gathered through an embodied simulation to ground contextualized word vectors to object representations.
no code implementations • 8 Nov 2022 • Sadaf Ghaffari, Nikhil Krishnaswamy
In this paper, we present methods for two types of metacognitive tasks in an AI system: rapidly expanding a neural classification model to accommodate a new category of object, and recognizing when a novel object type is observed instead of misclassifying the observation as a known class.
no code implementations • 31 Oct 2022 • Sina Mahdipour Saravani, Sadaf Ghaffari, Yanye Luther, James Folkestad, Marcia Moraes
This study introduces and investigates the capabilities of three different text mining approaches, namely Latent Semantic Analysis, Latent Dirichlet Analysis, and Clustering Word Vectors, for automating code extraction from a relatively small discussion board dataset.
no code implementations • 17 Apr 2022 • Nikhil Krishnaswamy, Sadaf Ghaffari
In this paper we present a novel method for a naive agent to detect novel objects it encounters in an interaction.