Fig. 2
From: Automated RECIST tumor response classification through prompt-guided large language models
Confusion matrices comparing the multi-class classification performance of three prompting approaches—zero-shot, few-shot (5) and CoT. Each matrix plots the true labels on the y-axis against the predicted labels on the x-axis, with color intensity corresponding to the number of instances in each cell (darker shades indicate higher counts).
