most citedLet LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement

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cs.IR2026

ICICLE: Expanding Retrieval with In-Context Documents

Yu-Chen Den, Yung-Yu Shih, Zhi Rui Tam +4

Generative retrieval (GR) maps queries directly to document identifiers (docids) using parametric knowledge, However, this design makes corpus expansion costly: adding new document…