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Retrieval-augmented generation for ai-generated content: A survey
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
advancements in model algorithms, scalable foundation model architectures, and the …
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, H Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
Codeagent: Enhancing code generation with tool-integrated agent systems for real-world repo-level coding challenges
Large Language Models (LLMs) have shown promise in automated code generation but
typically excel only in simpler tasks such as generating standalone code units. Real-world …
typically excel only in simpler tasks such as generating standalone code units. Real-world …
Rlcoder: Reinforcement learning for repository-level code completion
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 …
the context of a specified repository. Existing approaches mainly rely on retrieval-augmented …
Automatic programming: Large language models and beyond
Automatic programming has seen increasing popularity due to the emergence of tools like
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
Iterative refinement of project-level code context for precise code generation with compiler feedback
Large Language Models (LLMs) have shown remarkable progress in automated code
generation. Yet, LLM-generated code may contain errors in API usage, class, data structure …
generation. Yet, LLM-generated code may contain errors in API usage, class, data structure …
Agents in software engineering: Survey, landscape, and vision
In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …
have been widely used in various downstream tasks, especially in the tasks of the software …
Graphcoder: Enhancing repository-level code completion via code context graph-based retrieval and language model
The performance of repository-level code completion depends upon the effective leverage of
both general and repository-specific knowledge. Despite the impressive capability of code …
both general and repository-specific knowledge. Despite the impressive capability of code …
Revisiting code similarity evaluation with abstract syntax tree edit distance
This paper revisits recent code similarity evaluation metrics, particularly focusing on the
application of Abstract Syntax Tree (AST) editing distance in diverse programming …
application of Abstract Syntax Tree (AST) editing distance in diverse programming …
A solution toward transparent and practical AI regulation: Privacy nutrition labels for open-source generative AI-based applications
The rapid development and widespread adoption of Generative Artificial Intelligence-based
(GAI) applications have greatly enriched our daily lives, benefiting people by enhancing …
(GAI) applications have greatly enriched our daily lives, benefiting people by enhancing …