Efficient and green large language models for software engineering: Vision and the road ahead

J Shi, Z Yang, D Lo - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …

When to stop? towards efficient code generation in llms with excess token prevention

L Guo, Y Wang, E Shi, W Zhong, H Zhang… - Proceedings of the 33rd …, 2024 - dl.acm.org
Code generation aims to automatically generate code snippets that meet given natural
language requirements and plays an important role in software development. Although …

Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights

R Krishna, R Pan, R Pavuluri, S Tamilselvam… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models for Code (or code LLMs) are increasingly gaining popularity and
capabilities, offering a wide array of functionalities such as code completion, code …

Investigating Efficacy of Perplexity in Detecting LLM-Generated Code

J Xu, H Zhang, Y Yang, Z Cheng, J Lyu, B Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language model-generated code (LLMgCode) has become increasingly prevalent in
software development. Many studies report that LLMgCode has more quality and security …