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Yikang Song

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Preprint Aug 2026

A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs

Long-form generation exposes fundamental limitations of large language models. Even 70B-parameter models exhibit length collapse at 16k-token outputs, and multi-chapter stories frequently trigger the attribute drift characteristic of the ``lost-in-the-middle''effect. The ``outline-first, write-later''paradigm has gaine...

Yikang Song · 0 citations
Conference Jul 2026

A Large-Language-Model-Oriented Dual-Channel Agent Framework for Intelligent Generation of Simulation Scenarios

Constructing simulation scenarios manually is time-consuming and often depends on platform-specific modeling experience. Existing large-language-model (LLM) methods are promising for interpreting operational documents, but they still struggle with long-document parsing, incomplete platform interfaces, auditable task ex...

Lei Wang, Zhiqiang Fan, Yikang Song et al. · 0 citations

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