Papers by Yipeng Ma

2 papers
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression (2024.acl-long)

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Challenge: Existing methods to compress KV cache compromise precision or require extra data for calibration, limiting their practicality in LLM deployment.
Approach: They propose a low-bit quantization technique based on tensor decomposition to effectively compress KV cache.
Outcome: The proposed method reduces memory footprint and performance by 75% . it is compared with existing methods that compromise precision or require extra data for calibration .
When and Who? Conversation Transition Based on Bot-Agent Symbiosis Learning Network (2020.coling-main)

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Challenge: a bot-agent symbiosis is a method for transparent conversation transition in online customer service applications.
Approach: They propose a bot-agent symbiosis approach to solve conversation transition problems . they provide user feedback and develop deep neural networks to predict the NPS .
Outcome: The proposed approach outperforms state-of-the-art methods on real-time data generated from an online service support platform.

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