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.
A., W aseem, M., Zhang, Z., Rasheed, Z., Systä, K., and Abrahamsson, P.AI based Multiagent Approach for Requirements Elicitation and Analysis
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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.