Category: natural language processing
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Political Biases in Language Models (Part II – Evaluation of Politial Leanings)
In my previous discussion, I delved into the paper by Feng et al., published at ACL 2023, which explored the intricate relationship between political biases in large language models (LLMs) and their performance on downstream tasks like hate speech and misinformation detection. Now, let’s dive deeper into the solutions proposed…
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Political Biases in Language Models (Part I – Evaluation of Politial Leanings)
The issue of political biases in language models has been a topic of growing concern, especially among those of us who focus our studies in artificial intelligence. We’re well aware that bias is not a new problem in machine learning systems—it often stems from data imbalances. The quality of data…
Koby Choy 