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University of California, Los Angeles
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Soft-gating with an "advisor" model can steer LLMs to be safer and more useful, reducing over-refusal without sacrificing detection accuracy.
Chain-of-thought compression, while shrinking reasoning traces, can quietly erode a model's safety, factuality, and multilingual performance.
