Generalization of numerical (im)precision findings to other pragmatic domains

Establish whether the patterns of LLM–human alignment observed for social judgments under numerical (im)precision generalize to other pragmatic domains, including scalar implicature, politeness, and register variation.

Background

The evaluation centers on a single experimental paradigm involving numerical expressions across six scenarios and six social attributes, yielding clear results about structural fidelity and magnitude calibration in LLMs.

The authors explicitly note that it is not yet established whether these findings extend beyond numerical (im)precision to broader pragmatic phenomena such as scalar implicature, politeness, or register variation.

References

Generalization to other pragmatic domains, such as scalar implicature, politeness, or register variation, remains to be established.

— Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting  (2604.02512 - Mühlenbernd, 2 Apr 2026) in Section: Discussion, Limitations and Future Directions paragraph

Whether fabrication persists on authentic variety text is the natural next question, with direct fairness stakes for its speakers.

— When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text  (2609.11067 - Ryu et al., 10 Sep 2026) in Discussion, paragraph 'Future work'