Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission

In three linesComprExIT, a new context compression framework, addresses structural bottlenecks in existing LLM-based compressors through explicit information transmission. On 12 datasets, it improves average F1 by 18.5%, adds ~1% trainable parameters, and achieves 2x faster compression than baselines.

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