SimPER aligns LLMs by directly optimizing inverse perplexity of chosen versus rejected responses, reporting strong benchmark results without a reference model or loss hyperparameters.
The amount of time that passes between a food item’s contact with a contaminated surface and its being picked up can affect the likelihood of bacterial or viral transmission
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SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
SimPER aligns LLMs by directly optimizing inverse perplexity of chosen versus rejected responses, reporting strong benchmark results without a reference model or loss hyperparameters.