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Batch Size Effects on Mid‐2025 State‐of‐the‐Art Large Language Model Performance in Automated Title and Abstract Screening
0
Zitationen
7
Autoren
2026
Jahr
Abstract
State-of-the-art LLMs can effectively screen multiple abstracts per prompt, moving beyond inefficient single-reference processing. However, performance is model-dependent, revealing trade-offs between sensitivity and specificity. Therefore, batch size optimization and strategic model selection are important parameters for successful implementation.
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