16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.SE2024
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention
Lianghong Guo, Yanlin Wang, Ensheng Shi +6
Code generation aims to automatically generate code snippets that meet given natural language requirements and plays an important role in software development. Although Code LLMs h…
cs.CL2023★ 16 cited
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao +2
Revolutionary advancements in Large Language Models have drastically reshaped our interactions with artificial intelligence systems. Despite this, a notable hindrance remains-the d…