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LongAttnComp not only matches full-context accuracy but also significantly boosts efficiency in long-context reasoning tasks, outperforming existing methods across diverse model families.
LLMs can't reliably debug code in long contexts (64k-128k tokens) even with perfect information retrieval, despite impressive performance in agentic workflows that decompose the task.
