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Yuan-Chi Li

1 accepted papers

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…

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