Text Generation

Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs

We introduce min-p sampling, a dynamic truncation method for language models that improves text generation quality and diversity, especially at high temperatures, showing superior performance across multiple benchmarks.