most citedVLCQ: Post-training quantization for deep neural networks using variable length coding

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cs.SE2026

Evaluating Neural Decompilation of Dart AOT Binaries: Fine-Tuning, Metric Validity, Specification Leakage, and Reliability

Raafat Abualazm, Ayman AboElhassan, Amr G. Wassal

We present an execution-based evaluation of neural decompilation for Dart ahead-of-time binaries and an audit of what its scores measure. Across six archived adapter-baseline compa…