The project Self-Censorship in LLM-Based Chatbots (TUM × Imperial College London; GIF) investigates how large language models (LLMs) handle politically, ethically, and culturally sensitive topics across different regions of the world. Using a standardized prompt framework and NLP techniques, we evaluate the degree, form, and bypass ability of self-censorship in major LLM models.
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