mlsanityData to 7 Oct 2026

RUIE: Retrieval-based Unified Information Extraction using Large Language Model

arXiv 2409.11673 ↗First posted 18 Sep 2024cs.CLcited by 3

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Abstract (arXiv)

Unified information extraction (UIE) aims to extract diverse structured information from unstructured text. While large language models (LLMs) have shown promise for UIE, they require significant computational resources and often struggle to generalize to unseen tasks. We propose RUIE (Retrieval-based Unified Information Extraction), a framework that leverages in-context learning for efficient task generalization. RUIE introduces a novel demonstration selection mechanism combining LLM preferences with a keyword-enhanced reward model, and employs a bi-encoder retriever trained through contrastive learning and knowledge distillation. As the first trainable retrieval framework for UIE, RUIE serves as a universal plugin for various LLMs. Experimental results on eight held-out datasets demonstrate RUIE's effectiveness, with average F1-score improvements of 19.22 and 3.22 compared to instruction-tuning methods and other retrievers, respectively.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 31 of its 60 references that are in the map. First posted on arXiv 18 Sep 2024.

Builds on

31 of 60 references.

References · 31

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  3. 2022Text Embeddings by Weakly-Supervised Contrastive Pre-trainingcited by 1,216
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  7. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  8. 2023InstructUIE: Multi-task Instruction Tuning for Unified Information Extractioncited by 167
  9. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 154
  10. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  11. 2023Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!cited by 119
  12. 2023GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extractioncited by 116
19 more
  1. 2020CrossNER: Evaluating Cross-Domain Named Entity Recognitioncited by 102
  2. 2019Multi-Sentence Argument Linkingcited by 80
  3. 2022Code4Struct: Code Generation for Few-Shot Event Structure Predictioncited by 70
  4. 2023CodeIE: Large Code Generation Models are Better Few-Shot Information Extractorscited by 67
  5. 2018A Hierarchical Framework for Relation Extraction with Reinforcement Learningcited by 49
  6. 2023Universal Information Extraction as Unified Semantic Matchingcited by 47
  7. 2021ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learningcited by 46
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  11. 2024KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractioncited by 33
  12. 2014POLYGLOT-NER: Massive Multilingual Named Entity Recognitioncited by 32
  13. 2020Biomedical Named Entity Recognition at Scalecited by 30
  14. 2022Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shiftscited by 27
  15. 2019GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labelingcited by 22
  16. 2023YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extractioncited by 19
  17. 2024medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRscited by 16
  18. 2023FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval systemcited by 15
  19. 2022CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extractioncited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extractioncited by 6
  2. 2025Event Extraction in Large Language Modelcited by 5
  3. 2026Code-MIE: A Code-style Model for Multimodal Information Extraction with Scene Graph and Entity Attribute Knowledge Enhancementcited by 0

Similar, not cited

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  1. 2023Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment
  2. 2024Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
  3. 2023Retrieval-Augmented Code Generation for Universal Information Extraction
  4. 2025Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
  5. 2024Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
  6. 2024Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
  7. 2024Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval
  8. 2024Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models