评分 5.5 · 来源：cs.LG updates on arXiv.org · 发布于 2026-04-17
评分依据：Addresses gap in UQ for long-form generation (most work focuses on short answers), practically useful
arXiv:2604.15109v1 Announce Type: cross Abstract: Despite the rapid advancement of Large Language Models (LLMs), uncertainty quantification in LLM generation is a persistent challenge. Although recent approaches have achieved strong performance by restricting LLMs to produce short or constrained answer sets, many real-world applications require long-form and free-form text generation.