Papers by Ujjal Das

1 papers
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments (2025.acl-long)

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Challenge: Specialized non-LLM NLP-based solutions lack reasoning and are not able to infer values not explicitly present in documents.
Approach: They propose a novel LLM-based approach that organizes VRDs into localized semantic textual segments called semantic blocks.
Outcome: The proposed approach outperforms the state-of-the-art on public VRD benchmarks by 1-3% in F1 scores and is resilient to document formats previously not encountered.

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