PISCO: Pretty Simple Compression for Retrieval-Augmented Generation (2025.findings-acl)
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| Challenge: | Document compression methods suffer from accuracy losses and limited context size. |
| Approach: | They propose a method that achieves a 16x compression rate with minimal accuracy loss . they show that PISCO outperforms existing compression models by 8% in accuracy . |
| Outcome: | The proposed method outperforms existing compression models by 8% in accuracy. |
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