Papers with attention optimization

1 papers
Prompt Compression for Large Language Models: A Survey (2025.naacl-long)

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Challenge: Current methods for improving LLM efficiency focus on optimizing the model itself, while prompt-centric methods focus on lowering the complexity of input.
Approach: They propose to use prompt compression to optimize the compression encoder and combine hard and soft prompt methods to improve the efficiency of LLMs.
Outcome: The proposed methods are categorized into hard prompt methods and soft prompt methods.

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