AINeutralarXiv – CS AI · 6h ago6/10
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Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation
Researchers evaluated whether fine-tuned encoder classifiers can effectively replace expensive LLM-based judges for detecting harmful outputs in large language models. The study benchmarked ModernBERT family encoders against LLM judges and rule-based methods across adversarial datasets, finding that encoders offer a cost- and latency-efficient alternative for safety evaluation in production environments.
🧠 Claude