To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Embeddings, Except In Heavy Truncation Scenarios

In three linesAn arXiv study compares Matryoshka Representation Learning (MRL) with simple embedding truncation. Results show non-MRL embeddings remain robust up to 80% dimensionality reduction. MRL provides advantage only for heavy truncation (>80%), questioning its systematic training cost.

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