Papers by Sukhwa Hong
StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs (2026.findings-eacl)
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| Challenge: | Large language models (LLMs) have shown strong performance in zero-shot summarization, but struggle to model document structure and identify salient information in long texts. |
| Approach: | They propose a training-free prompting framework that injects structural signals into prompts via sentence-level graph structures. |
| Outcome: | The proposed framework improves summary quality and factual consistency over baselines and vanilla prompting. |