Benchmark study shows DCO methods for vector similarity search are not reliable silver bullets due to high sensitivity to data properties and hardware, making them unsuitable for production deployment.
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LLMs detect falsified ISO/IEC/IEEE 24765 SE definitions well but also reject many correct ones, indicating systematic rejection bias rather than genuine discriminative understanding of SE terminology.
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Distance Comparison Operations Are Not Silver Bullets in Vector Similarity Search: A Benchmark Study on Their Merits and Limits
Benchmark study shows DCO methods for vector similarity search are not reliable silver bullets due to high sensitivity to data properties and hardware, making them unsuitable for production deployment.
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Large Language Models Have Unreliable Understanding of Software Engineering Terminology
LLMs detect falsified ISO/IEC/IEEE 24765 SE definitions well but also reject many correct ones, indicating systematic rejection bias rather than genuine discriminative understanding of SE terminology.