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Awesome-LLM4IE-Papers
cross-domain-learning

Awesome-LLM4IE-Papers

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

by quqxui · GitHub
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cross-domain-learningdata-augmentationevent-arguments
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Read a collection of academic papers on using large language models for extracting information from various types of data.

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1 0611 058
2026-07-202026-08-31
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📄 About

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Awesome-LLM4IE-Papers has 1.1k stars on GitHub. It has been forked 61 times. It has been in active development since 2023. Its main topics are cross-domain-learning, data-augmentation, event-arguments, event-detection.

Frequently asked questions

What is Awesome-LLM4IE-Papers?

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Is Awesome-LLM4IE-Papers open source?

Awesome-LLM4IE-Papers is an open-source project.

Is Awesome-LLM4IE-Papers free?

Yes. Awesome-LLM4IE-Papers is free and open source — you can use, modify and self-host it.

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