AIBullisharXiv – CS AI · 14h ago7/10
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Less Is More: Elevating RAG via Performance-Driven Context Compression
Researchers introduce CORE-RAG, a novel framework that compresses context in Retrieval-Augmented Generation systems using performance-driven learning rather than predefined heuristics. The approach achieves a 97% compression ratio while improving accuracy by 3.3 points on exact match scores, addressing a critical bottleneck in LLM efficiency.