awesome-llm4ie-papers
github.com/quqxui/awesome-llm4ie-papers ↗Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
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Named Entity RecognitionRelation ExtractionEvent ExtractionUniversal Information ExtractionSupervised Fine-tuningFew-shotZero-shotData AugmentationPrompts DesignConstrained Decoding Generation2024/09/04
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Named Entity Recognition
- 2INER: Instructive and In-Context Learning on Few-Shot Named Entity RecognitionEntity Identification & Typing
EMNLP Findings
- Double-Checker: Large Language Model as a Checker for Few-shot Named Entity RecognitionEntity Identification & Typing
EMNLP Findings
- Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity RecognitionEntity Identification & Typing
COLING
2024/09/04
- Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
KaLLM workshop
- Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
Arxiv
- Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
Arxiv
- CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
ECAI
- Epidemic Information Extraction for Event-Based Surveillance using Large Language Models
ICICT
- Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language Models
Arxiv
Prompts Design
- Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsQuestion Answer
ACL Findings
- Knowledge-Enriched Prompt for Low-Resource Named Entity RecognitionQuestion Answer
TALLIP
- ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language ModelsSelf-Improvement
ACL Findings
- PromptNER : Prompting For Named Entity RecognitionChain of Thought
Arxiv
- Revisiting Large Language Models as Zero-shot Relation ExtractorsQuestion Answer
EMNLP Findings
- Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsSelf-Improvement
NAACL Short
Zero-shot
- A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event ExtractionZero-shot Prompting
NeurIPS Workshop
- A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionZero-shot Prompting
Arxiv
- Code4Struct: Code Generation for Few-Shot Event Structure PredictionZero-shot Prompting
ACL
- CodeKGC: Code Language Model for Generative Knowledge Graph ConstructionZero-shot Prompting
ACM TALLIP
- DEEPSTRUCT: Pretraining of Language Models for Structure PredictionCross-Domain Learning
ACL Findings
- Diluie: constructing diverse demonstrations of in-context learning with large language model for unified information extractionCross-Domain Learning
Others
Supervised Fine-tuning
- AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction ModelEvent Argument Extraction
ACL
- A Unified Generative Framework for Various NER SubtasksEntity Identification & Typing
ACL
- AutoRE: Document-Level Relation Extraction with Large Language ModelsRelation Triplet
ACL Demos
- Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument ExtractionEvent Argument Extraction
ACL Findings
- Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity TypingEntity Typing
EMNLP Findings
- ClarET: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classificationEvent Detection & Argument Extraction
ACL
Constrained Decoding Generation
- An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionRelation Strict
AAAI
- Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?Data Annotation
Arxiv
- Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language ModelsZero-shot Prompting
Astronomy
- Autoregressive Structured Prediction with Language Models
EMNLP Findings
- A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
Arxiv
- Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation ExtractionChain of Thought
Multimodal
Data Augmentation
- Augmenting NER Datasets with LLMs: Towards Automated and Refined AnnotationData Annotation
Arxiv
- Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionKnowledge Retrieval
WWW
- Entity-to-Text based Data Augmentation for various Named Entity Recognition TasksInverse Generation
ACL Findings
- Event Extraction as Question Generation and AnsweringInverse Generation
ACL Short
- Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information ExtractionInverse Generation
EMNLP
- GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerSynthetic Datasets for Instruction-tuning
Arxiv
Few-shot
- Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation ExtractionIn-Context Learning
EMNLP Findings
- C-ICL: Contrastive In-context Learning for Information ExtractionIn-Context Learning
Arxiv
- CODEIE: Large Code Generation Models are Better Few-Shot Information ExtractorsIn-Context Learning
ACL
- ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and ContextIn-Context Learning
AAAI
- DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event ExtractionFew-shot Fine-tuning
EMNLP Findings
- Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language ModelsIn-Context Learning
Arxiv
Showing a sample of 192 resources. View the full list on GitHub →