Post-training makes large language models less human-like 事件

Post-training makes large language models less human-like arXiv:2605.07632v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, we introduce Psych-201, a novel dataset that enables us to measure behavioral alignment at scale. We find that post-training -- the stage that turns base models into useful assistants -- consistently reduces al