E vi R eport: From Reasoned Outlines to Evidence Tracked Long-Form Reports
Zihan Liu · Jianhui li · Zexin Wang · Fei Sun · Jingjing LI · Zheyuan Li · Ke Xiang · Hang Cui · Houhua Gong · Changhua Pei · Gaogang Xie
摘要
Evidence-intensive analytical reports are expected to be fact-dense, quantitatively correct, and supported by figures. Yet one-shot long-form generation with large language models (LLMs) frequently produces fluent but under-supported drafts: core facts are missed, numbers drift, and key visuals a...