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LongBench v-2

Emerging
1papers using it
2025first seen

LongBench v2 is a benchmark dataset used to evaluate the performance of models in processing long-context tasks, specifically focusing on the effectiveness of task-aware key-value cache compression in enhancing accuracy and reducing inference latency.

Papers using LongBench v-2 (1)

LongBench v-2 β€” datasets β€” learning-to-hash