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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 …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation
Program synthesis has been long studied with recent approaches focused on directly using
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …
Reflexion: Language agents with verbal reinforcement learning
Large language models (LLMs) have been increasingly used to interact with external
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …
Starcoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …
Qwen2. 5 technical report
In this report, we introduce Qwen2. 5, a comprehensive series of large language models
(LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has …
(LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has …
Wizardcoder: Empowering code large language models with evol-instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated
exceptional performance in code-related tasks. However, most existing models are solely …
exceptional performance in code-related tasks. However, most existing models are solely …
Starcoder 2 and the stack v2: The next generation
The BigCode project, an open-scientific collaboration focused on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In …
development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In …
Octopack: Instruction tuning code large language models
Finetuning large language models (LLMs) on instructions leads to vast performance
improvements on natural language tasks. We apply instruction tuning using code …
improvements on natural language tasks. We apply instruction tuning using code …
Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion
Code completion models have made significant progress in recent years, yet current popular
evaluation datasets, such as HumanEval and MBPP, predominantly focus on code …
evaluation datasets, such as HumanEval and MBPP, predominantly focus on code …