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This paper proposes InfoKV, an entropy-aware KV cache compression framework that combines token-level predictive uncertainty with attention scores to improve long-context reasoning efficiency. Experiments show it outperforms existing attention-based methods on Llama-3.1, Llama-3.2, and DeepSeek-R1.