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Author

Xavier Franch

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Preprint Aug 2026

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

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
Review Jul 2026

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges

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. · 1 citation

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