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SALT: Salience-Aware Lexical Trie for Long-Context Compression

Mamo, Oteo et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencemachine-learningperformance
As large language models (LLMs) process increasingly longer prompts, computation and KV-cache memory costs have emerged as major bottlenecks in inference systems. Existing input-level prompt compression methods address this, but rank each sentence by a scalar relevance score, treating the document a
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