MQAR

MQAR (Multi-Query Associative Recall) is a synthetic benchmark for evaluating the long-context information retrieval capabilities of language models. It specifically tests a model's ability to accurately recall specific key-value associations within long sequences, and is commonly used to assess recall quality in efficient attention mechanisms and state space models.