🌐 Cross-community transfer learning also shows promise! Fine-tuned SLMs can effectively moderate content in communities they weren’t explicitly trained on.

This has major implications for new communities and cross-platform moderation techniques.

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📊 Our error analysis reveals:

- SLMs excel at detecting rule violations in short comments
- LLMs tend to be more conservative about flagging content
- LLMs perform better with longer comments where context helps determine appropriateness

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🔍 We evaluated fine-tuned SLMs against LLMs across 15 popular Reddit communities. Results show SLMs surpass zero-shot LLMs with:

- 11.5% higher accuracy
- 25.7% higher recall
- Better performance on realistic imbalanced datasets

Even ICL didn’t help LLMs catch up!

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