Papers by Chao-Ting Chen

1 papers
Efficient Beam Search for Large Language Models Using Trie-Based Decoding (2025.emnlp-main)

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Challenge: Large language models (LLMs) face memorybound performance bottlenecks due to their high memory requirements.
Approach: They propose a trie-based parallel decoding method that shares a single KV cache across beams with common prefixes to dramatically reduce memory usage and enables efficient decoding.
Outcome: The proposed method significantly reduces memory usage and enables efficient decoding without compromising generation quality.

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