LLMs Reproduce Human Social Meaning Structure but Not Magnitude

A recent study on arXiv investigates the ability of large language models (LLMs) to mimic human social meaning. Researchers developed two innovative metrics, Effect Size Ratio (ESR) and Calibration Deviation Score (CDS), to evaluate how these models reflect social structures and calibrate their output. The research centered on the premise that social meaning is derived from language interpretation and speaker intent. Analyzing three advanced LLMs, the study found that although all models effectively represent qualitative social reasoning, they vary significantly in their accuracy regarding magnitude calibration. This work suggests that integrating insights from pragmatic theory could enhance LLM alignment with human thought processes.