LLM pipeline with generation-critic feedback reaches 61% accuracy on low-level goal extraction from requirements documents and outperforms standalone few-shot prompting, yet remains best suited as an accelerator for manual work.
In2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)(2023), IEEE, pp
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Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations
LLM pipeline with generation-critic feedback reaches 61% accuracy on low-level goal extraction from requirements documents and outperforms standalone few-shot prompting, yet remains best suited as an accelerator for manual work.