"Prompt-to-Leaderboard" (P2L),is a novel method for evaluating large language models (LLMs). Instead of relying on overall average performance metrics (like traditional leaderboards), P2L trains a model that predicts how well different LLMs will perform on a specific given prompt. This allows for a much more fine-grained understanding of LLM strengths and weaknesses. P2L is a generalization of standard Bradley-Terry (BT) modeling for pairwise comparisons, leveraging the prompt itself to predict the outcome of a comparison.
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Relevant Links:
https://lmarena.ai/?p2l
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