quqxui/Awesome-LLM4IE-Papers resource

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1060 stars · 61 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of academic papers on generative Information Extraction (IE) using Large Language Models, organized by task (NER, relation extraction, event extraction) and technique (fine-tuning, few-shot, zero-shot, data augmentation). It accompanies a peer-reviewed survey published in Frontiers of Computer Science and is regularly updated with new papers and datasets.

Use cases

• find papers on LLM-based information extraction
• survey of large language models for named entity recognition
• research on generative relation extraction with LLMs
• papers on event extraction using large language models
• zero-shot and few-shot information extraction literature
• datasets for LLM information extraction research
• knowledge graph construction with LLMs papers
• literature review for generative IE survey

When to choose

• you are researching LLM applications to information extraction tasks
• you need a curated, categorized reading list with paper venues and code links
• you want accompanying datasets and toolkits for IE research
• you want a peer-reviewed survey with a maintained public repository

When to avoid

• you need runnable software or a library rather than a paper list
• you want non-generative, traditional IE methods predating LLMs
• you need production-ready IE pipelines instead of research references

Facets

learning-resource · maturity active

nlp machine-learning documentation large-language-models artificial-intelligence tutorials awesome-lists awesome-list information-extraction survey papers named-entity-recognition relation-extraction event-extraction knowledge-graph-construction few-shot-learning zero-shot-learning in-context-learning data-augmentation natural-language-processing web-server

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For agents

markdown · JSON · MCP: product_card(name="quqxui/Awesome-LLM4IE-Papers")