most citedAccelerating Quantum Eigensolver Algorithms With Machine Learning

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cs.SE2025

ReFuzzer: Feedback-Driven Approach to Enhance Validity of LLM-Generated Test Programs

Iti Shree, Karine Even-Mendoza, Tomasz Radzik

Existing LLM-based compiler fuzzers often produce syntactically or semantically invalid test programs, limiting their effectiveness in exercising compiler optimizations and backend…