A diagnostic benchmark of text and code transformations finds embedding similarity metrics often conflate opposition with equivalence; LLM judges discriminate better, and Euclidean distance improves code embeddings.
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How Small Transformation Expose the Weakness of Semantic Similarity Measures
A diagnostic benchmark of text and code transformations finds embedding similarity metrics often conflate opposition with equivalence; LLM judges discriminate better, and Euclidean distance improves code embeddings.