Sensemaking Tool

Sensemaking tools aim to help users understand and interpret complex information, particularly from large language models (LLMs) and other data sources. Current research focuses on developing interactive visualizations and interfaces that leverage LLMs for feature extraction, summarization, and the creation of structured overviews, often employing techniques like histogram generation, similarity analysis, and graph-based representations. These tools are designed to improve efficiency and insight in tasks ranging from scientific literature review to understanding social artifacts and navigating complex datasets, ultimately enhancing human-computer interaction and knowledge discovery.