A multi-agent framework uses natural language to generate and execute Python code for dynamic bibliometric analysis including networks, clustering, and automated reports.
In-IDE code generation from natural language: Promise and challenges
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A multi-agent framework uses natural language to generate and execute Python code for dynamic bibliometric analysis including networks, clustering, and automated reports.
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User study reveals nine LLM failure categories in SE tasks and quantifies abandonment factors from 26 participants.