Context: Fine-grained emotion classification of mobile app reviews enables requirements engineering activities that go beyond polarity-based opinion mining, including emotionally informed issue prioritisation and feature-oriented feedback analysis. However, automatic fine-grained emotion extraction from app reviews rem...
Whether measurable linguistic properties of prompts can predict LLM performance before inference is investigated, enabling low-cost prompt selection and refinement, validated on binary requirements classification targeting F1, F2, precision, and recall.
Quim Motger, Alessio Miaschi, Xavier Franch et al.· 1 citation
A structured community discussion at the First International Workshop on Empirical Prompt Engineering for Software Engineering (PROMPT-SE) discussed current prompting practices, challenges to their adoption and evaluation, and future directions for integrating prompt engineering into software development.
Vincenzo De Martino, Giovanna Broccia, Fabiano Pecorelli et al.· 0 citations
This work presents a systematic literature review characterizing 141 primary studies on Multi-Agent Debate, and derives a three-dimensional taxonomy covering debate participants, the interaction mechanisms structuring the exchange, and the agreement protocols governing debate resolution, supported by formal notations t...
Quim Motger, M. Oriol, J. Marco et al.· arXiv.org· 1 citation
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