11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.AI2026
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…
cs.HC2024★ 11 cited
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
Adam Coscia, Langdon Holmes, Wesley Morris +3
The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summ…