Papers with text extraction models

1 papers
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents (2025.emnlp-demos)

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Challenge: Existing data synthesis tools struggle to extract reliable fine-tuning data from heterogeneous documents.
Approach: They propose a framework for synthesizing fine-tuning data from unstructured documents via an intuitive graphical user interface.
Outcome: The proposed framework can extract reliable data from unstructured documents via an intuitive graphical user interface (GUI) it leverages persona-driven prompting approach to generate diverse question-answer pairs using public-available LLMs.

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