2026
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
ICLR 2026poster
Existing large language model (LLM)-based embeddings typically adopt an encoder-only paradigm, treating LLMs as static feature extractors and overlooking their core gener- ative strengths. We introduce GIRCSE (Generative Iterative Refinement for Contrastive Sentence Embeddings), a novel framework th…