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ULLMEgithub.comULLME is a unified framework that enables bidirectional attention in decoder-only large language models for generating passage embeddings. It supports contrastive learning, supervised fine-tuning, and a novel GRL strategy that aligns embedding and generation spaces using KL divergence.
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