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toxicity

topic1 events
papersTODAY 04:00 UTC

arXiv Paper Proposes Modular Framework for Targeted Harm Reduction in LLMs

A new arXiv preprint introduces a modular framework aimed at reducing harmful outputs from large language models in a more targeted way. The authors note that current alignment approaches work but are expensive and tightly coupled, motivating a cheaper, more flexible alternative. The abstract frames the work around mitigating bias, toxicity, and other outputs that diverge from human preferences.

safety/alignment/llm/arxiv