Papers by Advik Sachdeva
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models (2026.acl-long)
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| Challenge: | Toxic content encompasses a wide spectrum of terminologies whose definitions vary by platform. |
| Approach: | They propose a 2-stage framework for explainable content moderation using Large Language Models (LLMs) they leverage LLMs’ own outputs to generate synthetic explanations for correct and incorrect labels . they refine explanation quality through cross-model training, allowing weaker models to align with stronger ones. |
| Outcome: | Experiments on 3 benchmarks show that the proposed framework achieves 13% macro-F1 improvement over few-shot baselines using only 6-57% of training data. |