FIELD NOTES TOPIC

ideology

2 notes, newest first.

  1. Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs

    Source note ·

    The authors show that fine-tuning language models on specific datasets can cause broad shifts in ideology across various topics, even when the training data is factually defensible and moderation-passing. This…

  2. Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs

    Source note ·

    Researchers show that fine-tuning language models on specific policies or domains can cause broad ideological shifts across various topics, even when the data used is factually defensible and moderation-passing. This…