LongBench-Write

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking

arXiv:2606.09709v1 Announce Type: new Abstract: 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, where performance degrades sharply as target lengths exceed 2,000 words. We attribute this failure to the limitation of static hierarchical planning,...