LLM Information Extraction

LLM: Large Language Model

Overview

This field studies how to turn text, tables, images, and long documents into structured data that can support search, analysis, and decision-making. Common tasks include named-entity and relation extraction, event and attribute extraction, clinical report parsing, and building knowledge graphs from scientific or legal literature. Approaches range from prompting and retrieval-augmented examples to fine-tuning, schema-constrained decoding, agent workflows, and verification against source evidence. Models can produce well-formed outputs, but accurate and complete values remain difficult in long, noisy, multimodal, or specialized documents, so evaluation, provenance, and human review remain central.

Latest papers

CardsList

238 papers31 papers in the last four weeks, down 3% on the four weeks before. 0.2% of all new papers.

  1. Adapting LLM-SC to Living Sacred Heritage: Domain-Specific Extraction, Semantic Networks and Human Evaluation on Pashupatinath Temple Reviews

    Oct 26, 2026Hari Sitaula, Manish Sakhakarmy, Pujan Pant +1LLM Information ExtractionDocument Information Extraction

  2. Padding to k: A Minimum Count in the Schema Makes Open-Weight Models Pad Their Extraction Lists

    Oct 22, 2026Abhishek Barali, Aayush PaudelLLM Information ExtractionText Generation

  3. Automated Materials Data and Knowledge Extraction using Machine Learning and Large Language Models

    Oct 21, 2026Aravindan Kamatchi Sundaram, B. Pabitramohan Prusty, Rohit BatraDocument Information ExtractionLLM Information Extraction

  4. EpiLens: Lightweight RAG for Epidemiological Knowledge Acquisition

    Oct 19, 2026Vincenzo Perri, Ciro Cattuto, Daniela PaolottiLLM Information ExtractionEvidence Selection

  5. Decomposed Relation Extraction from Aviation Accident Narratives: Evaluating Transformer-Based Safety Knowledge Discovery under Relational Sparsity

    Oct 19, 2026Aziida Nanyonga, Mustafa Tahsin Yilmaz, Saad Ezzini +2Relation ExtractionDocument Information Extraction

  6. Conditional information Retrieval for Longitudinal Survey Harmonisation

    Oct 19, 2026Wing Yan Li, Zeqiang Wang, Michelle Lin +2Information RetrievalComputational Social Science

  7. TimelineAgent: An LLM-based Framework for Query-Centric Event Timeline Extraction Across Multiple Documents

    Oct 19, 2026Qingkai Min, Yunxin Bao, Yifeng Lu +4Event ExtractionLLM Information Extraction

  8. CoDA: A Human-LM Collaborative Codebook Development Assistant for Domain-Specific Text Annotation

    Oct 16, 2026Jaspreet Ranjit, Swaminathan Chellappa, Augusto Rivas Costante +5LLM-Assisted AnnotationHuman-in-the-Loop Annotation

  9. ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews

    Oct 15, 2026Zhaoqian Xue, Shaoze Zhou, Xuexin Li +10Systematic Review AutomationAI-Assisted Scientific Research

  10. MAPLE: A Multi-Axis Parametric Knowledge Extraction Lens for LLM Evaluation

    Oct 14, 2026Minsuh Joo, Youna Kim, Choonghyun Park +2LLM EvaluationLLM Information Extraction

  11. RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs

    Oct 10, 2026Defne Circi, Krystelle Lionti, Sarathkrishna Swaminathan +8Document Information ExtractionLLM Information Extraction

  12. Faithful and Complete LLM-Assisted Automated Construction of Hierarchical Hardware Knowledge Graphs

    Oct 8, 2026Haotian Qiao, Robert P. DickKG ConstructionKnowledge Graphs

  13. U4RASD at KnowledgeGraphEval-2026: Ontology-Constrained Encoder and LLM Systems for Arabic Relation Extraction

    Oct 8, 2026Ahmad Abbas, Hussein Mazeh, Chadi Abou Chakra +3Relation ExtractionArabic NLP

  14. From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents

    Oct 6, 2026Mahesh Viswanathan, Joan Rossello, Leticia Fernandes +1Semantic ClusteringLLM Information Extraction

  15. CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets

    Oct 5, 2026Berke Arda, Ahmetcan Yavuz, Paul Gerry +7Document Information ExtractionLLM Information Extraction

  16. Agentic schema-guided extraction of materials process knowledge from scientific literature

    Oct 5, 2026Sameer Sadruddin, Jennifer D'SouzaKG ConstructionDocument Information Extraction

  17. Inductive Claims Extraction at Scale

    Oct 4, 2026Sandrine Chausson, Björn RossSocial Media AnalysisArgument Mining

  18. Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks

    Oct 1, 2026Fahmid Shahriar Iqbal, Ritam Dutt, Soumitra Das +2Language Model GeneralizationTemporal Reasoning in Language Models

  19. Can large language models unlock discrete data in ophthalmic diagnostic reports?

    Sep 30, 2026Umair A. Zaidi, An-Lun Wu, Wei-Chun Lin +2Document Information ExtractionClinical Information Extraction

  20. Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports

    Sep 30, 2026Aawez Mansuri, Kush Mehta, Mohammadreza Chavoshi +10Supervised Fine-TuningSynthetic Data Generation

  21. Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse

    Sep 29, 2026Annabelle K. L. Chua, Forster J. Khoo, Joel C. R. Tan +8Social Media AnalysisHate Speech Detection

  22. Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research

    Sep 28, 2026Zehao Lu, Xingguo Xiong, Wopke van der Werf +2Multi-Agent LLM SystemsLLM Information Extraction