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Internal parser states can effectively restore a language model's true distribution, closing the gap left by rigid token masking.
Over 2,000 previously undetected bugs in deep learning compilers expose the hidden complexities of compiler-platform interactions that traditional testing methods miss.
DiscPBT uncovers semantic drifts and corner-case pitfalls in data-intensive computing systems that traditional fuzzing fails to detect.
Forget LLMs, Probabilistic Circuits can now generate more realistic and diverse test inputs, boosting bug detection rates by up to 70% in SQL and XML.
