Search Results for author: Sadaf Ghaffari

Found 6 papers, 0 papers with code

Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics

no code implementations24 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.

Language Modelling Multimodal Reasoning +2

Combining Automatic Coding and Instructor Input to Generate ENA Visualizations for Asynchronous Online Discussion

no code implementations22 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.

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

no code implementations23 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.

Attribute Object

Detecting and Accommodating Novel Types and Concepts in an Embodied Simulation Environment

no code implementations8 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.

Object Vocal Bursts Type Prediction

Automated Code Extraction from Discussion Board Text Dataset

no code implementations31 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.

Clustering

Exploiting Embodied Simulation to Detect Novel Object Classes Through Interaction

no code implementations17 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.

Object

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