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20242026
most citedLeveraging Encoder-only Large Language Models for Mobile App Review Feature Extraction

8 citations · 12 across the 7 of their papers we have counts for

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cs.SE2026

Predicting LLM Performance from Prompt Linguistic Features: An Empirical Study in Requirements Engineering

Quim Motger, Alessio Miaschi, Xavier Franch +2

Background. LLM outputs are highly sensitive to prompt formulation: small wording changes can substantially affect output quality. This matters in software engineering, where promp…