Hugging Face· Platform

Improving Prompt Consistency with Structured Generations

Recently, the Leaderboards and Evals research team at Hugging Face did small experiments, which highlighted how fickle evaluation can be. For a given task, results are extremely sensitive to minuscule changes in prompt format! However, this is not what we want: a model prompted with the same amount of information as input should output similar results. We discussed this with our friends at Dottxt , who had an idea - what if there was a way to increase consistency across prompt formats? So, let's dig in! Context: Evaluation Sensitivity to Format Changes It has become increasingly clear that LLM benchmark performance is closely, and somewhat surprisingly, dependent on the format of the prompt itself, even though a number of methods have been introduced through the years to reduce prompt-related variance. …

Announced

30 Apr 2024 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+825d after)