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Found 4 papers, 1 papers with code
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
We employ a probing technique to extract representations from different layers of the model and apply these to classification tasks.
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
This paper identifies a cultural dominance issue within large language models (LLMs) due to the predominant use of English data in model training (e. g., ChatGPT).
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
Moreover, through retraining the models with the test cases generated by OASIS, the robustness of the moderation model can be improved without performance degradation.
Validating Multimedia Content Moderation Software via Semantic Fusion
To this end, content moderation software has been widely deployed on these platforms to detect and blocks toxic content.
