To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios
cs.LG, cs.CL
Submitted: 2026-05-15
Updated: 2026-09-26
Terminology
Sources
- jina-embeddings-v5-text: Task-Targeted Embedding Distillation
- Diffusion-Pretrained Dense and Contextual Embeddings
- Efficient Natural Language Response Suggestion for Smart Reply
- Text and Code Embeddings by Contrastive Pre-Training
- jina-embeddings-v3: Multilingual Embeddings With Task LoRA
- EmbeddingGemma: Powerful and Lightweight Text Representations
- Multilingual E5 Text Embeddings: A Technical Report
- Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- Embedding in Recommender Systems: A Survey
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