IS - C o T : Breaking the Long-form Generation Collapse via Interleaved Structural Thinking
Zechen Sun · Yuyang Sun · Zecheng Tang · Juntao Li · Wenpeng Hu · Wenliang Chen · Zhunchen Luo · Guotong Geng · Min Zhang
摘要
Generating coherent and controllable long-form content remains a persistent challenge for Large Language Models (LLMs). While reasoning-enhanced models have demonstrated success in logic-intensive domains, our evaluation reveals that they suffer from a severe length collapse in open-ended writing...