Camelot pipeline with LLM fallback achieves highest accuracy (EM/LS up to 0.99-1.00) and efficiency (<1s per PDF) compared to LLM-only or hybrid regex-LLM on 860 documents using local 12-14B models.
Mitigating turnover with code review recommendation: Balancing expertise, workload, and knowledge distribution
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Tabular PDF Information Extraction with Local LLMs and Layout-Aware Parsing: A Reliability Evaluation
Camelot pipeline with LLM fallback achieves highest accuracy (EM/LS up to 0.99-1.00) and efficiency (<1s per PDF) compared to LLM-only or hybrid regex-LLM on 860 documents using local 12-14B models.