REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming
arXiv 2607.07738•f3700e1cbbdb6bb93b06e5268623b61f6682b6f1292edf16c10d7f1abb66806b
CWECodeGuard+DWARFDeepSWE','long-horizon tasks','SWE benchmarks','test verifiers'LLMsPERFOPT-BenchSecVecCoderTrajSpecagentic codingautomated program repairbenchmark safetybenchmarkingbinary-to-source alignmentbug report refinementcompiler optimizationdecompilationfunction namingperformance optimizationprovenancerepository analysisreverse engineeringsecure code generationsurvivorship biastask vectorsuncertainty-aware evaluation
Paper metadata
- arXiv ID
- 2607.07738
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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- Source ID
- arxiv_cs_se
- Record identifier
- f3700e1cbbdb6bb93b06e5268623b61f6682b6f1292edf16c10d7f1abb66806b
- Enrichment time
- 2026-07-10T08:51:47Z
- AI-assisted enrichment
- Yes
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