Latent Lab: Large Language Models for Knowledge Exploration
This work addresses the challenge of organizing, searching, and synthesizing content for researchers or users exploring knowledge bases, but it is incremental as it builds on existing LLM capabilities for a specific domain.
The paper tackled the problem of supporting knowledge exploration and augmenting human creativity using large language models (LLMs), resulting in the development of 'Latent Lab', an interactive tool for discovering connections among MIT Media Lab research projects, with a user study evaluating its success in introducing users to an unfamiliar knowledge base.
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.