Reducing Political Manipulation with Consistency Training 事件

Reducing Political Manipulation with Consistency Training arXiv:2605.22771v2 Announce Type: replace Abstract: Large language models (LLMs) exhibit systematic political bias across a variety of sensitive contexts. We find that LLMs handle counterpart topics from opposing political sides asymmetrically. We refer to this phenomenon as covert political bias and identify 7 categories of techniques through which it operates. We propose two metrics for covert bias: Sentiment Consistency measures symme