Sayan Das

SEDATE: Do Large Language Models Share an Aggression Circuit Across Languages?

This work proposes Selective Detection And Targeted Editing (SEDATE), a training-free approach based on detect-edit-verify strategy that achieves substantially superior safety scores across all languages and models over the best-performing baseline while retaining the general capabilities and incurring negligible overh...