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Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Robustness, security, privacy, explainability, efficiency, and usability of large language models for code
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …
high accuracy) in processing source code, have significantly transformed software …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Efficient and green large language models for software engineering: Vision and the road ahead
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …
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
Code generation aims to automatically generate code snippets that meet given natural
language requirements and plays an important role in software development. Although …
language requirements and plays an important role in software development. Although …
Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …
software engineering tasks, spurring the rapid growth of the Large Language Models for …
Anchor Attention, Small Cache: Code Generation with Large Language Models
The development of large language models (LLMs) has revolutionized automated code
generation. However, their high demand of computation resources has hindered a broader …
generation. However, their high demand of computation resources has hindered a broader …
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
Language models have proven successful across a wide range of software engineering
tasks, but their significant computational costs often hinder their practical adoption. To …
tasks, but their significant computational costs often hinder their practical adoption. To …
API-guided Dataset Synthesis to Finetune Large Code Models
Large code models (LCMs), pre-trained on vast code corpora, have demonstrated
remarkable performance across a wide array of code-related tasks. Supervised fine-tuning …
remarkable performance across a wide array of code-related tasks. Supervised fine-tuning …
GREEN-CODE: Optimizing Energy Efficiency in Large Language Models for Code Generation
Large Language Models (LLMs) are becoming integral to daily life, showcasing their vast
potential across various Natural Language Processing (NLP) tasks. Beyond NLP, LLMs are …
potential across various Natural Language Processing (NLP) tasks. Beyond NLP, LLMs are …