59 citations · 117 across the 8 of their papers we have counts for
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cs.CL2026
Fine-Grained Emotion Classification from Mobile App Reviews: An Empirical Study with Large Language Models
Quim Motger, Carlota Catot, Marc Oriol
Context: Fine-grained emotion classification of mobile app reviews enables requirements engineering activities that go beyond polarity-based opinion mining, including emotionally i…
cs.SE2026
Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges
Quim Motger, Marc Oriol, Jordi Marco +1
Multi-Agent Debate (MAD) is a promising paradigm for improving the accuracy and robustness of Large Language Model (LLM)-based agentic systems. It enables multiple agents to exchan…