36 citations · 82 across the 12 of their papers we have counts for
5 papers · 1 filter
CliniCIRCA: A Modular LLM Framework for Constructing Longitudinal Mental Health Patient Journeys from Raw EHR Narratives
Aiwei Ivy Zhang, Nimra Ishfaq, Mohit Chandra +5
In mental health care, reasoning over patient journeys is a key task for clinicians. Yet these journeys, encompassing a longitudinal progression of biological, psychological, and s…
Targeted and Traceable Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs
Zeyu Hua, Adam Coscia, Alex Endert
Multi-agent LLM systems today are increasingly automated, logging LLM-LLM interactions as conversational transcripts. Yet analyzing such dialogue for insights remains challenging,…
Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education
Adam Coscia, Sujata Duwal, Langdon Holmes +2
LLMs are reshaping educational technology, yet evaluating their responses for pedagogical alignment remains underexplored, relying heavily on the expertise of learning engineers bu…
Semantic Bundling: Interactive Node and Edge Bundling to Simplify Knowledge Graphs using Large Language Models
Adam Coscia, Zeyu Hua, Eric Krokos +2
We present Semantic Bundling, a visual analytics technique for making sense of text documents represented as knowledge graphs (KGs). Representing a document corpus as a KG makes re…
LLM Prompt Evaluation for Educational Applications
Langdon Holmes, Adam Coscia, Scott Crossley +2
As large language models (LLMs) become increasingly common in educational applications, there is a growing need for evidence-based methods to design and evaluate LLM prompts that p…