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Role-aware summaries can boost bug localization effectiveness by 40% while being 10.4 to 20.9 times more efficient than raw source code.
Existing benchmarks fail to reveal the true performance capabilities of LLMs, with only 6.11% showing significant speed advantages over traditional implementations.
Seemingly impressive results on benchmarks like SWE-bench may be inflated by weak test suites that accept incorrect patches, with a new analysis showing top repair agents' performance dropping by up to 9% when evaluated against more robust tests.
