Papers by Juseon-Do Juseon-Do
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models (2024.findings-acl)
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| Challenge: | Existing sentences do not consider the length constraints in extractive summarization because of their limited model abilities. |
| Approach: | They propose an approach that incorporates length constraints without model modifications into sentences . they use traditional sentence compression datasets to transform them into instruction format . |
| Outcome: | The proposed method can consider the length constraint through instructions without model modifications. |
Considering Length Diversity in Retrieval-Augmented Summarization (2025.findings-naacl)
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| Challenge: | Existing methods that require exhaustive exemplar-exemplar relevance comparisons do not consider summary lengths. |
| Approach: | They propose a Diverse Length-aware Maximal Marginal Relevance algorithm to better control summary lengths. |
| Outcome: | The proposed algorithm reduces the computational cost and memory consumption while maintaining the same level of informativeness. |