Buried within the
An important direction for future research is understanding why default language models exhibit this confirmatory sampling behavior. Several mechanisms may contribute. First, instruction-following: when users state hypotheses in an interactive task, models may interpret requests for help as requests for verification, favoring supporting examples. Second, RLHF training: models learn that agreeing with users yields higher ratings, creating systematic bias toward confirmation [sharma_towards_2025]. Third, coherence pressure: language models trained to generate probable continuations may favor examples that maintain narrative consistency with the user’s stated belief. Fourth, recent work suggests that user opinions may trigger structural changes in how models process information, where stated beliefs override learned knowledge in deeper network layers [wang_when_2025]. These mechanisms may operate simultaneously, and distinguishing between them would help inform interventions to reduce sycophancy without sacrificing helpfulness.
，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
FT Edit: Access on iOS and web
Specify a footer that calls the main method in the generated file as we are not using the bundled file as a module. Usually the footer is used for adding comments and there might be a better way of doing this that I am not aware of. This however serves the purpose very well.