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TENESYS AI NEWS tracks the most important AI news and explains what changed, why it matters and whether a technology is worth testing.

#WMDP — 1 article ✕

Research· Important· 🧪 Worth Testing

MCQ benchmarks artificially mask LLM safety refusals

Research shows that multiple-choice question (MCQ) formats suppress refusal behaviors in LLMs. Experiments on Llama-3.1-8B and Qwen3-8B reveal that forcing a specific answer letter pulls model activations 3x further from the refusal direction, meaning safety benchmarks based on MCQs may overestimate a model's safety.

arXiv cs.CL