新闻
LongHarness Bench: Stress-Testing Language Model Harnesses for Long-Context Reasoning
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers released LongHarness Bench, a benchmark for testing how well language model harnesses handle long-context reasoning tasks with diverse retrieval and reasoning strategies.
- 为何重要
- Matters for engineers building or evaluating systems that process long documents, where efficiency and accuracy tradeoffs vary significantly across different architectural approaches.
- 注意
- Best performance reached only 68% accuracy even with frontier models, and the benchmark reveals that identical models show markedly different efficiency under different harnesses.
- language model
- reasoning
- retrieval
- long-context
- long context
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