Qwen technical report

J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …

Starcoder 2 and the stack v2: The next generation

A Lozhkov, R Li, LB Allal, F Cassano… - arXiv preprint arXiv …, 2024 - arxiv.org
The BigCode project, an open-scientific collaboration focused on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In …

Large language models for compiler optimization

C Cummins, V Seeker, D Grubisic, M Elhoushi… - arXiv preprint arXiv …, 2023 - arxiv.org
We explore the novel application of Large Language Models to code optimization. We
present a 7B-parameter transformer model trained from scratch to optimize LLVM assembly …

Understanding the effectiveness of large language models in code translation

R Pan, AR Ibrahimzada, R Krishna, D Sankar… - arXiv preprint arXiv …, 2023 - arxiv.org
Code translation aims to convert source code from one programming language (PL) to
another. Given the promising abilities of large language models (LLMs) in code synthesis …

[PDF][PDF] Unifying the perspectives of nlp and software engineering: A survey on language models for code

Z Zhang, C Chen, B Liu, C Liao, Z Gong… - arXiv preprint arXiv …, 2023 - simg.baai.ac.cn
In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

Lost in translation: A study of bugs introduced by large language models while translating code

R Pan, AR Ibrahimzada, R Krishna, D Sankar… - Proceedings of the …, 2024 - dl.acm.org
Code translation aims to convert source code from one programming language (PL) to
another. Given the promising abilities of large language models (LLMs) in code synthesis …

Exploring and unleashing the power of large language models in automated code translation

Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu… - Proceedings of the …, 2024 - dl.acm.org
Code translation tools, namely transpilers, are developed for automatic source-to-source
translation. Latest learning-based transpilers have shown impressive enhancement against …

Coeditor: Leveraging contextual changes for multi-round code auto-editing

J Wei, G Durrett, I Dillig - arXiv preprint arXiv:2305.18584, 2023 - arxiv.org
Developers often dedicate significant time to maintaining and refactoring existing code.
However, most prior work on generative models for code focuses solely on creating new …

CodeStylist: a system for performing code style transfer using neural networks

CK Ting, K Munson, S Wade, A Savla, K Kate… - Proceedings of the …, 2023 - ojs.aaai.org
Code style refers to attributes of computer programs that affect their readability,
maintainability, and performance. Enterprises consider code style as important and enforce …

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks

T Kadosh, N Hasabnis, VA Vo, N Schneider… - arXiv preprint arXiv …, 2023 - arxiv.org
With easier access to powerful compute resources, there is a growing trend in AI for software
development to develop larger language models (LLMs) to address a variety of …