ULME: Predictive Coupling for Mutually Reinforcing Embedding and Language Modeling
Text embedding and text generation are two of the most useful capabilities of modern large language models, yet they are typically provided by separate specialized models (an embedder and a generator) trained with incompatible objectives and deployed side by side in retrieval-augmented generation and agent systems. Rec...
Yang Liu, Zhi-Qiang Yuan, Shu-Dong Huang et al.
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