ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference

Name: ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference
Uploaded: 2026-10-02T07:01:36.923394+00:00
Duration: 1168 s
Description: DeltaKV creates a residual-based KV cache compression method for long-context LLMs. It exploits global token similarity by finding redundant information across the entire context, reducing memory usage to 29% while maintaining near-lossless performance. This addresses the memory bottleneck in deploying powerful models for complex reasoning tasks.

DeltaKV creates a residual-based KV cache compression method for long-context LLMs. It exploits global token similarity by finding redundant information across the entire context, reducing memory usage to 29% while maintaining near-lossless performance. This addresses the memory bottleneck in deploying powerful models for complex reasoning tasks.

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