Papers by Axel Delaval
TOXIFRENCH: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection (2026.findings-acl)
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| Challenge: | toxicity detection in French remains underdeveloped due to the lack of culturally relevant, human-annotated, large-scale datasets. |
| Approach: | They propose a method that generalizes French online comments using a semi-automated annotation pipeline that reduces manual labeling to only 10% through high-confidence LLM-based pre-annotation and human verification. |
| Outcome: | The proposed model outperforms GPT-4o and DeepSeek-R1 on the benchmark while maintaining cross-lingual capabilities. |