# ICT-GoKnow/KnowCoder

<https://repo.masters-masters.com/en/repos/ICT-GoKnow/KnowCoder>

[Home](https://repo.masters-masters.com/en) › [ICT-GoKnow](https://repo.masters-masters.com/en/owners/ICT-GoKnow) › [KnowCoder](https://repo.masters-masters.com/en/repos/ICT-GoKnow/KnowCoder)

ICT-GoKnow/KnowCoder has 109 stars on GitHub. Its RepoMasters card: Prototype tier. Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs…

| Field | Value |
| --- | --- |
| Owner | [ICT-GoKnow](https://repo.masters-masters.com/en/owners/ICT-GoKnow) |
| Stars | 109 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ICT-GoKnow/KnowCoder](https://github.com/ICT-GoKnow/KnowCoder) |

## Repository

Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for universal information extraction.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.