作者位次 #2/3ACL 2026Poster· Natural Language Processing
SMARTER : A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
Huy Nghiem · Advik Sachdeva · Hal Daumé Iii
摘要
To address toxic content on social media, we introduce SMARTER, a data-efficient 2-stage framework for explainable content moderation using Large Language Models (LLMs). In Stage 1, we leverage LLMs’ own outputs to generate synthetic explanations for correct and incorrect labels, enabling prefere...