Kuan-Chun Wang
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126
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Crypto×1NLP×1
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2026
TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic Contexts
The paper introduces TWGuard, a linguistic context-optimized safety guardrail model, demonstrating that tailoring AI safety mechanisms to specific local linguistic contexts significantly improves performance compared to general foundation models.
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