awesome-llm4ie-papers
github.com/quqxui/awesome-llm4ie-papers ↗Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
1.1k
GitHub Stars
192
Curated Resources
11
Categories
16 hours ago
Last Refreshed
Named Entity RecognitionRelation ExtractionEvent ExtractionUniversal Information ExtractionSupervised Fine-tuningFew-shotZero-shotData AugmentationPrompts DesignConstrained Decoding Generation2024/09/04
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me entity identification & typing resources from awesome-llm4ie-papers"
Installation instructions →What's inside
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 Model
ACL
- A Unified Generative Framework for Various NER Subtasks
ACL
- AutoRE: Document-Level Relation Extraction with Large Language Models
ACL Demos
- Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL Findings
- Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
EMNLP Findings
- ClarET: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classification
ACL
Constrained Decoding Generation
- An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
AAAI
- Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?
Arxiv
- Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models
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 Extraction
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 →