AEGIS: Exploring Span-Guided Multilingual Text Detoxification
AEGIS is a framework for investigating span-level guidance in multilingual text detoxification across English, Mandarin Chinese, and Korean. The study finds that providing explicit rationales can alter the trade-off between reducing toxicity and preserving meaning, but the impact varies depending on the generator backbone and linguistic context. Rather than focusing on achieving state-of-the-art results, the work analyzes when and how span-level control signals are effective for detoxification.
Why it matters: This research clarifies the conditional usefulness and limitations of span-level control signals for multilingual text detoxification, informing future development of safer language models.
Full story at: arXiv Computation and Language ↗