Latent Lab: Large Language Models for Knowledge Exploration
Kevin Dunnell, Trudy Painter, Andrew Stoddard, Andy Lippman

TL;DR
Latent Lab is an interactive AI-powered tool leveraging large language models to facilitate knowledge exploration and foster human creativity by discovering connections among research projects, emphasizing exploration over search.
Contribution
The paper introduces Latent Lab, a novel interactive system that uses LLMs for organizing, searching, and synthesizing research content to support collaborative knowledge exploration.
Findings
Successfully introduced users to unfamiliar knowledge bases
Enhanced discovery of connections among research projects
Provided insights into collaborative AI systems
Abstract
This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering connections among MIT Media Lab research projects, emphasizing "exploration" over search. The work offers insights into collaborative AI systems by addressing the challenges of organizing, searching, and synthesizing content. In a user study, the tool's success was evaluated based on its ability to introduce users to an unfamiliar knowledge base, ultimately setting the groundwork for the ongoing advancement of human-AI knowledge exploration systems.
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Taxonomy
TopicsScientific Computing and Data Management · Ethics and Social Impacts of AI
