Syntax-aware retrieval augmented code generation

[PDF] arxiv.org

Retrieval-augmented generation for ai-generated content: A survey

P Zhao, H Zhang, Q Yu, Z Wang, Y Geng, F Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
被引用次数：139 相关文章 所有 4 个版本
[PDF] arxiv.org

Rlcoder: Reinforcement learning for repository-level code completion

Y Wang, Y Wang, D Guo, J Chen, R Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Repository-level code completion aims to generate code for unfinished code snippets within
the context of a specified repository. Existing approaches mainly rely on retrieval-augmented …
被引用次数：9 相关文章 所有 3 个版本
[PDF] arxiv.org

P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task

W Xu, M Wang, W Zhou, H Li - … of the 32nd ACM International Conference …, 2024 - dl.acm.org
Embodied Everyday Task is a popular task in the embodied AI community, requiring agents
to make a sequence of actions based on natural language instructions and visual …
被引用次数：2 相关文章 所有 4 个版本
[PDF] arxiv.org

Coir: A comprehensive benchmark for code information retrieval models

X Li, K Dong, YQ Lee, W Xia, Y Yin, H Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite the substantial success of Information Retrieval (IR) in various NLP tasks, most IR
systems predominantly handle queries and corpora in natural language, neglecting the …
被引用次数：3 相关文章 所有 3 个版本
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RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

TD Bui, DT Luu-Van, TP Nguyen, TT Nguyen… - arXiv preprint arXiv …, 2024 - arxiv.org
Code completion is essential in software development, helping developers by predicting
code snippets based on context. Among completion tasks, Method Body Completion (MBC) …
被引用次数：2 相关文章 所有 2 个版本
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Wiping out the limitations of Large Language Models--A Taxonomy for Retrieval Augmented Generation

MM Li, I Nikishina, Ö Sevgili, M Semmann - arXiv preprint arXiv …, 2024 - arxiv.org
Current research on RAGs is distributed across various disciplines, and since the
technology is evolving very quickly, its unit of analysis is mostly on technological …
被引用次数：1 相关文章 所有 4 个版本
[PDF] arxiv.org

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation

X Gao, Y Xiong, D Wang, Z Guan, Z Shi… - Proceedings of the 39th …, 2024 - dl.acm.org
Retrieval-augmented code generation utilizes Large Language Models as the generator
and significantly expands their code generation capabilities by providing relevant code …
相关文章 所有 5 个版本