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LLMs1 min read
The EAR approach partitions source corpora for retrieval-augmented generation using entity-aware windows. Experiments with Mistral, Gemma, and DeepSeek show a reduction in retrieved words of 37.5-40.2% and associated accuracy changes, primarily focusing on a cleaned MMLU subset.
From arXiv cs.CL
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