AI RESEARCH
Generating Place-Based Compromises Between Two Points of View
arXiv CS.CL
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ArXi:2604.24536v1 Announce Type: new Large Language Models (LLMs) excel academically but struggle with social intelligence tasks, such as creating good compromises. In this paper, we present methods for generating empathically neutral compromises between two opposing viewpoints. We first compared four different prompt engineering methods using Claude 3 Opus and a dataset of 2,400 contrasting views on shared places. A subset of the gen erated compromises was evaluated for acceptability in a 50-participant study.