Steering LLM Summarization with Visual Workspaces for Sensemaking

Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information compression and insight extraction. Human guidance in sensemaking tasks can prioritize and cluster relevant information for...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Tang, Xuxin, Krokos, Eric, Liu, Can, Davidson, Kylie, Whitley, Kirsten, Ramakrishnan, Naren, North, Chris
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognitive tasks Datasets Large language models Steering Visual tasks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!