Papers by Quantong Qiu

1 papers
Accurate KV Cache Quantization with Outlier Tokens Tracing (2025.acl-long)

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Challenge: Large Language Models (LLMs) require substantial computational resources during deployment.
Approach: They propose a method to identify outlier tokens and exclude them from quantization . they find that the method can deliver a 6.4 times reduction in memory usage and a 2.5 times increase in throughput .
Outcome: The proposed method delivers a 6.4 times reduction in memory usage and a 2.5 times increase in throughput under 2-bit quantization.

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