Papers with two-step reasoning process
Conflict and Overlap Classification in Construction Standards Using a Large Language Model (2025.naacl-industry)
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Seong-Jin Park, Youn-Gyu Jin, Hyun-Young Moon, Choi Bong-Hyuck, Lee Seung Hwan, Ohjoon Kwon, Kang-Min Kim
| Challenge: | Current manual approaches to analyzing overlapping or conflicting content are time-consuming, costly, and error-prone. |
| Approach: | They propose a large language model that uses a construction domain-adapted large language for the semantic comparison of sentences in construction standards. |
| Outcome: | The proposed framework achieves 97.9% accuracy and 0.907 macro F1-score in classifying sentences from Korean construction standards as overlapping, conflicting, or neutral. |