[KongchangAI]
BenchmarkHELMET基准 / HELMET长文本评测

HELMET

An evaluation benchmark for assessing the long-context understanding and processing capabilities of large language models, covering a variety of long-context task scenarios.

Timeline (last 90 days)

Oct 7

On the HELMET long-context evaluation benchmark, WavePrune achieves score improvements on four out of the five models tested, without requiring additional tuning.

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Oct 7

After applying WavePrune to Qwen3-8B, the HELMET score improved from 35.7 to 40.0.

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