Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement (2025.naacl-long)
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| Challenge: | Existing methods for long-form story generation rely on rigid outlines or lack macro-level planning, making it difficult to achieve contextual consistency and coherent plot development. |
| Approach: | They propose a Dynamic Hierarchical Outlining with Memory-Enhancement long-form story generation method to generate long-formed story with coherent content and plot. |
| Outcome: | The proposed method significantly improves the fluency, coherence, and overall quality of generated long stories compared to state-of-the-art methods. |
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| Challenge: | Detailed Outline Control (DOC) framework improves long-range plot coherence . human evaluations of DOC show it outperforms strong Re3 on plot cohesion, outline relevance and interestingness . |
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| Challenge: | Existing models focus on local word prediction, and cannot make high level plans on what to generate. |
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| Challenge: | Existing methods for generating readable outlines are inability to segment long texts . |
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| Challenge: | a hierarchical model that generates a premise and then conditions on it creates fluent text . a novel form of model fusion improves the relevance of the story to the prompt . |
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| Challenge: | Existing generation models struggle to maintain a coherent event sequence throughout the generated text. |
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| Challenge: | Automated story generation aims to produce coherent, engaging, and contextually consistent narratives with minimal or no human involvement . despite advances in large language models, maintaining narrative coherence, character consistency, storyline diversity, and plot controllability in generating stories is still challenging. |
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Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng
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NexusSum: Hierarchical LLM Agents for Long-Form Narrative Summarization (2025.acl-long)
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| Challenge: | Summarizing long-form narratives requires capturing intricate plotlines, character interactions, and thematic coherence over tens of thousands of tokens. |
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| Challenge: | Existing approaches augment reasoning steps or inject specific structure into how models think, but leave scattered problem conditions unchanged. |
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STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation (2025.findings-acl)
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Jiaming Li, Yukun Chen, Ziqiang Liu, Minghuan Tan, Lei Zhang, Yunshui Li, Run Luo, Longze Chen, Jing Luo, Ahmadreza Argha, Hamid Alinejad-Rokny, Wei Zhou, Min Yang
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