An Efficient and Modular Framework for Targeted Harm Mitigation in LLMS.

arXiv:2609.13624v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are powerful zero-shot learners but remain prone to misalignment with human preferences, often producing biased, toxic, or otherwise harmful outputs. Existing alignment meth