Review
Large language model-based paper classification framework with key-insight extraction and confidence-weighted voting
An LLM-based framework is proposed that leverages full-text key-insight extraction to enhance literature classification and implemented a confidence-weighted voting (CWV) mechanism using multiple LLMs to improve robustness.
Zihan Song, Shan Huang, Ngeemasara Thapa et al.
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