Foundation Models of Human Cognition Improve Prediction of Program Comprehension

Jul 14, 2026

A new study evaluates Centaur, a foundation model trained on data from 160 general psychological experiments, on nine program-comprehension tasks. Centaur's predictions of human responses align more closely with actual human data than those of its base model, Llama 3.1. The model relies less on prior trial information and more on task-specific context, indicating that cognitive patterns learned from general psychology can transfer to complex software engineering tasks.

Why it matters: This research demonstrates that foundation models of human cognition can be leveraged to better predict developer behavior, potentially informing the design of improved tools for code understanding and developer support.

Full story at: arXiv Software Engineering ↗