Grunnleggende konsepter
A multi-agent framework that automatically extracts, associates, and organizes insights from conversational contexts to facilitate efficient insight discovery and exploration during LLM-powered data analysis.
Sammendrag
The content describes the development of InsightLens, an interactive system that adopts a multi-agent framework to automate the extraction, association, and organization of insights from conversational contexts in LLM-powered data analysis.
The key highlights and insights are:
Formative study findings:
Current chat-based interfaces pose challenges in manually extracting, verifying, and organizing insights from lengthy LLM responses.
Users struggle with inefficient insight browsing and revisiting due to the lack of high-level overviews.
Multi-agent framework design:
The Data Science (DS) Agent interprets user intents and generates analysis outputs.
The Insight Extraction (IE) Agent automatically extracts insights and associates them with relevant evidence.
The Insight Management (IM) Agent organizes insights based on data attributes and analytic topics.
InsightLens user interface:
Provides coordinated views for insight inspection (Insight Details, Insight Gallery) and exploration (Insight Minimap, Topic Canvas).
Supports multi-level and multi-faceted insight exploration, including data coverage, context transitions, and insight interestingness.
Technical evaluation:
High coverage (91.2%), accuracy (88.5%), and quality in extracting, associating, and organizing insights.
Identified failure cases mainly due to LLMs' hallucinations, which can be mitigated through more effective prompting.
User study findings:
InsightLens significantly outperformed the baseline in facilitating insight discovery and exploration.
Participants confirmed more insights, explored more data attributes and analytic topics using InsightLens.
Participants appreciated the system's effectiveness, usability, and potential impact on their daily data analysis workflow.
Statistikk
The line chart shows a general trend of increase in Worldwide Gross over the years with notable fluctuations.
The dataset contains 709 rows and 10 columns.
Sitater
"It was nice to track his findings by time order in the minimap, while using the baseline required him to navigate back and forth to grasp what he explored before."
"The dots below each message reminded him of missed insights."
"The highlighted NL explanations in each response were particularly useful for her to quickly identify key points."