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CATCH training lowers dishonesty in 2 language models

The method uses only hundreds of training targets.

CATCH is a training method that moves a model to an honest answer and away from a dishonest one. It lowered dishonesty with pressure on MASK and gave more honesty than prompting and supervised fine-tuning. It kept more of the utility of the model than honesty steering.

Sources

  1. CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honestyarxiv.org
AI MATTER · NEWS · AI MATTER · NEWS ·16 OCT2026

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