papersTODAY 04:00 UTC
Paper examines how alignment reduces diversity in LLM outputs
A new arXiv paper studies why aligned large language models tend to generate less varied text, linking the effect to probability concentration in their output distributions. The authors describe this as a shrinking generative horizon caused by alignment procedures. The work is a research analysis and does not announce a model or product.