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Self-Collaboration Code Generation via ChatGPT

167
Citations
September 30, 2024
Published Date

Research Abstract & Technology Focus

Although large language models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a strategy that significantly controls development complexity and enhances software quality. Inspired by this, we present a self-collaboration framework for code generation employing LLMs, exemplified by ChatGPT. Specifically, through role instructions, (1) Multiple LLM agents act as distinct “experts,” each responsible for a specific subtask within a complex task; (2) Specify the way to collaborate and interact, so that different roles form a virtual team to facilitate each other’s work, ultimately the virtual team addresses code generation tasks collaboratively without the need for human intervention. To effectively organize and manage this virtual team, we incorporate software-development methodology into the framework. Thus, we assemble an elementary team consisting of three LLM roles (i.e., analyst, coder, and tester) responsible for software development’s analysis, coding, and testing stages. We conduct comprehensive experiments on various code-generation benchmarks. Experimental results indicate that self-collaboration code generation relatively improves 29.9–47.1% Pass@1 compared to the base LLM agent. Moreover, we showcase that self-collaboration could potentially enable LLMs to efficiently handle complex repository-level tasks that are not readily solved by the single LLM agent.
self-collaboration generation chatgpt
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Frequently Asked Questions (FAQ)

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What is the core focus of the research titled 'Self-Collaboration Code Generation via ChatGPT'?

This literature focuses on: Although large language models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a strategy ...

Are there open-source GitHub repositories related to Self-Collaboration Code Generation via ChatGPT?

Yes, open-source projects like PKU-YuanGroup/Helios (Helios: Real Real-Time Long Video Generation Model) are actively building upon these concepts.

Which startups are commercializing the technology behind Self-Collaboration Code Generation via ChatGPT?

Products like PromptURLs are bringing this to market. Their focus is: Turn any prompt into a shareable URL for ChatGPT, Claude .

What other academic literature is closely related to 'Self-Collaboration Code Generation via ChatGPT'?

Yes, highly correlated activity was mapped. An entry titled 'Self-Collaboration Code Generation via ChatGPT' discusses this: Although large language models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world s...

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Yes, highly correlated activity was mapped. An entry titled 'ChatGPT' discusses this: Introducing ChatGPT for iOS: OpenAI’s latest advancements at your fingertips. This official app is free, syncs your history across devices, and br...

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