A retrieve-summarize-extract pipeline with simple table-to-text serialization improves LLM extraction from hybrid long documents, and a new financial KPI dataset (FINE) is introduced to support evaluation.
From Dataset Recycling to Multi-Property Extraction and Beyond
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This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset. The proposed dual-source model outperforms the current state-of-the-art by a large margin. Next, we introduce WikiReading Recycled-a newly developed public dataset and the task of multiple property extraction. It uses the same data as WikiReading but does not inherit its predecessor's identified disadvantages. In addition, we provide a human-annotated test set with diagnostic subsets for a detailed analysis of model performance.
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Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset
A retrieve-summarize-extract pipeline with simple table-to-text serialization improves LLM extraction from hybrid long documents, and a new financial KPI dataset (FINE) is introduced to support evaluation.