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Found 5 papers, 1 papers with code
BuDDIE: A Business Document Dataset for Multi-task Information Extraction
Several datasets exist for research on specific tasks of VRDU such as document classification (DC), key entity extraction (KEE), entity linking, visual question answering (VQA), inter alia.
DocLLM: A layout-aware generative language model for multimodal document understanding
Enterprise documents such as forms, invoices, receipts, reports, contracts, and other similar records, often carry rich semantics at the intersection of textual and spatial modalities.
How Effective Are Neural Networks for Fixing Security Vulnerabilities
The results call for innovations to enhance automated Java vulnerability repair such as creating larger vulnerability repair training data, tuning LLMs with such data, and applying code simplification transformation to facilitate vulnerability repair.
Neural Transition-based Parsing of Library Deprecations
This paper tackles the challenging problem of automating code updates to fix deprecated API usages of open source libraries by analyzing their release notes.
