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Synthetic Data Effects on LLM Bias and Internal Attributes

8/ LLM See, LLM Do – closely investigates the effects and effectiveness of synthetic data and how it shapes a model’s internal biases, calibration, attributes, and preferences; finds that LLMs are sensitive towards certain attributes even when the synthetic data prompts appear

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