KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

no code implementations • 12 Mar 2024 • Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

After instruction tuning, KnowCoder further exhibits strong generalization ability on unseen schemas and achieves up to $\textbf{12. 5%}$ and $\textbf{21. 9%}$, compared to sota baselines, under the zero-shot setting and the low resource setting, respectively.

Code Generation Language Modelling +2

Retrieval-Augmented Code Generation for Universal Information Extraction

no code implementations • 6 Nov 2023 • Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng

Therefore, in this paper, we propose a universal retrieval-augmented code generation framework based on LLMs, called Code4UIE, for IE tasks.

Code Generation In-Context Learning +1

An In-Context Schema Understanding Method for Knowledge Base Question Answering

no code implementations • 22 Oct 2023 • Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng

The Knowledge Base Question Answering (KBQA) task aims to answer natural language questions based on a given knowledge base.

In-Context Learning Knowledge Base Question Answering +2