Can Liu

Steering LLM Summarization with Visual Workspaces for Sensemaking

2024 · arXiv (Cornell University)

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 …

Automatic Generation of Impressions from Brain MRI Report Findings using Large Language Models: A Multi-centers Retrospective Analysis

2025 · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Motivation: The performance of privacy-preserving LLMs for the generation of impressions in the radiology reports in multi-centers has not yet been investigated. Goal(s): To develop privacy-preserving LLMs that generates the Impressions from Findings, and compare …

Tracing Cognitive Dynamics in Group Ideation: An LLM-Based Framework for Automating Linkography

2026 · International Journal of Human-Computer Interaction

Collaborative ideation is a cornerstone of creative design, where the evolution of ideas reflects underlying cognitive processes such as association, integration, and refinement. To understand these processes, researchers use linkography, a method that maps semantic …