UNREAL Unifies Corpus Retrieval and Long-Context Inference in One Model

UNREAL adds fewer than 500K parameters to a frozen LLM to enable model-native evidence selection. On a 21M-chunk Wikipedia index, the framework improves recall from 49.1% to significantly higher levels, outperforming standard retriever-reranker pipelines.