サインイン
インサイト - Hate speech detection
Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
Disambiguating the meaning of pejorative words can help improve the detection of misogynistic language in Italian tweets.
Benchmarking Large Language Models for Cross-Domain Hate Speech Detection
Large language models offer significant advantages over state-of-the-art models for hate speech detection, even without fine-tuning. Fine-tuning can further improve performance, but the effects depend on the specific model and dataset characteristics.
Improving Hate Speech Detection by Leveraging Adversarial Data Collection Strategies
Adversarial datasets, collected by exploiting model weaknesses, can improve the robustness of hate speech detection models.
