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EnComp: Lightweight Encoder-Only Context Compression for Retrieval-Augmented Question Answering
Efficient context compression is critical for retrieval-augmented question answering in resource-constrained settings, where long retrieved contexts increase latency, memory use, and LLM reader cost. We propose a lightweight encoder-only framework for query-driven sentence pruning that preserves ans
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