논문해외
Reducing Representational Interference in Retrieval Embeddings with Trainable Prefix Tokens
HF Daily Papers
Embedding models compress variable-length text into fixed-size vector representations, but this compression can entangle semantic content with residual token-level information, such as artifacts…
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