Can Factual Opinions Be Edited (Manipulated) in Large Language Models?

In three linesNew arXiv study on editing factual opinions in LLMs. FOE benchmark with 261 public figures, 19 issue categories, 2,178 opinion records. Current editing methods fail to maintain consistency between edited opinion and model-generated evidence. Proposes Self-Generated Evidence-Aligned method for opinion-evidence alignment.

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