StructSense is a task-agnostic agentic framework for structured information extraction that reports 91-100% accuracy on schema-based tasks, 86-93% on metadata extraction, and 58-75% NER accuracy while adding entities beyond gold standards on biomedical benchmarks.
InfuserKI: Enhancing large language models with knowledge graphs via infuser-guided knowledge integration
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STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking
StructSense is a task-agnostic agentic framework for structured information extraction that reports 91-100% accuracy on schema-based tasks, 86-93% on metadata extraction, and 58-75% NER accuracy while adding entities beyond gold standards on biomedical benchmarks.