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Locating and Preventing Stereotypes in Large Language Models
Explore methods to identify and reduce stereotypes in LLMs like GPT-2 and Llama, ensuring fairer AI outputs and mitigating bias effectively.
Fair Speech Emotion Recognition: Reducing Demographic Bias
Discover a new fairness model for speech emotion recognition that addresses demographic bias to improve accuracy and ethical AI applications.
Transparent Screening of LLM Training and Inference Impact
Discover a transparent framework to estimate and compare LLM training and inference impacts, enhancing AI model transparency and sustainability.