SMRTR AIJan 9, 2025lobste.rs

Trying and failing to interpret sentence embeddings

SMRTR summary

This exploration examines vector manipulations of sentence embeddings to understand gender relationships and other concept pairs. Key findings include:

1. Simple vector addition often moved embeddings away from target words, unlike in word embedding research.

2. Rotations in vector space showed minor improvements for gender-related word pairs, but results were inconsistent.

3. Optimizing rotation angles and offset magnitudes improved results slightly, but no universal approach worked for all word pairs.

4. The technique had limited success with non-gender concept pairs, yielding mixed results.

5. Methods effective for word embeddings did not translate well to sentence embeddings.

This study underscores the complexity of sentence embeddings and the challenges in

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