Text embeddings are robust to truncation without MRL except when reducing size by at least 80%.
Margins in Contrastive Learning: Evaluating Multi-task Retrieval for Sentence Embeddings
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Embeddings, Except In Heavy Truncation Scenarios
Text embeddings are robust to truncation without MRL except when reducing size by at least 80%.