Topic
kv cache
Artificial Intelligence #llm#ai
OBCache Prunes KV Cache for Efficient Long-Context LLM Inference with Output-Aware Scoring
A new method called Optimal Brain Cache (OBCache) treats key-value cache eviction as a layer-wise structured pruning problem. By measuring token saliency through perturbation in attention outputs, OBCache outperforms heuristic-based approaches on LLaMA and Qwen models, consistently improving long-context accuracy according to the paper.
Jun 16, 2026 1 source
Artificial Intelligence #kv cache#compression
PolyKV: Layer-Wise KV Cache Compression Boosts LLM Inference Efficiency by Up to 54.5%
PolyKV is a new framework for compressing the key-value cache in large language model inference. It selects a compression policy per transformer layer and allocates non-uniform cache budgets, outperforming uniform approaches. On LongBench tasks, PolyKV recovers 40%-54.5% of the performance gap between the strongest single-policy baseline and full KV cache.
Jun 16, 2026 1 source