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Open access Jul 2026

TanglishGuard: Benchmarking AI Safety Guardrails on Tamil-English Code-Mixed Prompts

TanglishGuard is introduced, a novel benchmark designed to systematically assess the robustness of LLM safety mechanisms against code-mixed inputs and contributes to the development of more robust and equitable AI systems by ensuring safety mechanisms are tested against authentic communication patterns rather than sanitised English-only datasets.

Vivina Vijesh, Dr. E. Gothai, M. Student · 0 citations