LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews (2025.findings-acl)
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| Challenge: | Existing methods for abstract screening focus on binary classification settings; existing question answering (QA) based ranking approaches suffer from error propagation. |
| Approach: | They propose a systematic literature review (SLR) method that uses large language models to evaluate the SLR's inclusion and exclusion criteria. |
| Outcome: | The proposed method outperforms existing question answering (QA) based methods by 5-10 pp. in mean precision. |
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