Papers by Chuqiao Kuang

    1 papers
    More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression (2025.findings-emnlp)

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    Challenge: storing more tokens in the KV cache at lower precision can enhance the long-context performance of large language models.
    Approach: They propose a token-precision trade-off strategy to optimize KV cache compression . they also propose storing more tokens in the KV at lower precision .
    Outcome: The proposed method achieves an optimal point within the Information Bottleneck compared to standalone KV pruning or KV quantization.

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