AIR-Bench

'AIR-Bench' is a benchmark dataset used to evaluate the performance of text embedding models, particularly in the context of few-shot learning and in-context learning capabilities of large language models.

Papers using AIR-Bench (1)

Making Text Embedders Few-Shot Learners2024 · 2 cites