B

Bhaumik Patel

@bhaumikpatel

  • Timeline: artificial neural networks, deep learning, etc

    Thumbnail of Timeline: artificial neural networks, deep learning, etc

  • A Chemical Progression

    An exploration of the discovery and history of the atom, including the theories and experiments that led to its understanding in chemistry.

    by Greg Brockman and Will Hall

  • Enhancing Self-Therapy with Internal Family Systems and AI -

    11 highlights

    Thumbnail of Enhancing Self-Therapy with Internal Family Systems and AI -

    Self-Therapy

  • "Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models"

    This paper investigates how Violation of Expectation (VoE) and metacognitive prompting can be used to reduce Theory of Mind prediction errors in Large Language Models (LLMs) in the context of human-AI interaction.

    by Courtland Leer

    Metacognitive Prompting

  • How Far Are Large Language Models from Agents with Theory-of-Mind?

    A study examines whether large language models can go beyond understanding mental states to effectively use that understanding in decision-making and taking actions in social scenarios.

    by Jay Pujara

    Metacognitive Prompting

  • Case Studies – ShadowBox Training

    Thumbnail of Case Studies – ShadowBox Training

  • CTA in E/Affect Stage One Report

    Improving performance through Cognitive Task Analysis (CTA) in various industries is explored in this report, showcasing case studies and the value CTA brings to knowledge management, instructional system design, and cognitive systems engineering.

    by NDMA CTA in E/Affect Initiative

    Cognitive Task Analysis

  • Applied Cognitive Task Analysis (ACTA) Methodology

    An exploration of the development and evaluation of Applied Cognitive Task Analysis (ACTA) methodology to elicit cognitive information for training design and development purposes.

    Cognitive Task Analysis