Neural machine translation inspired binary code similarity comparison beyond function pairs
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The document discusses low text similarity scores between various word vectors, specifically referencing b1 x86, b2 x86, and a score of 0. It suggests an analysis of word senses and their representations in vector form. This may imply a focus on the effectiveness of word embeddings in capturing semantic similarity.
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Neural machine translation inspired binary code similarity comparison beyond function pairs
- 23. - For exmaple, low text similarity score, <𝐵1 𝑥86 ,𝐵2 𝑥86 , 0>
- 27. From Word Vectors 2 and Word Senses