Papers with Summarizing long-form
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. |
| Approach: | They propose a multi-agent LLM framework for narrative summarization that processes long-form text through a structured pipeline without fine-tuning. |
| Outcome: | The proposed framework achieves 30.0% improvement in BERTScore across books, movies, and TV scripts. |