Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
Introduces Infinity-Chat to study diversity in open-ended responses. The analysis examines repetition within models, similarity across models, and differences in human preferences that automated judges may miss.
Overview
Introduces Infinity-Chat to study diversity in open-ended responses. The analysis examines repetition within models, similarity across models, and differences in human preferences that automated judges may miss.
Introduces Infinity-Chat to study diversity in open-ended responses. The analysis examines repetition within models, similarity across models, and differences in human preferences that automated judges may miss.
When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.
Introduces Infinity-Chat to study diversity in open-ended responses. The analysis examines repetition within models, similarity across models, and differences in human preferences that automated judges may miss.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: neurips-2025-artificial-hivemind · Last verified:
