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---
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license: llama2
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datasets:
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- ACE05
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- conll2003
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- conll2012_ontonotesv5
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- rams
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- tacred
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- fewrel
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- maven
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language:
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- en
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metrics:
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- f1
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- Information Extraction
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- IE
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- Named Entity Recogniton
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- Event Extraction
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- Relation Extraction
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- LLaMA
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---
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# Model Card for ADELIE-SFT
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<!-- Provide a quick summary of what the model is/does. -->
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<p align="justify">
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We introduce <b>ADELIE</b> (<b>A</b>ligning large language mo<b>DEL</b>s on <b>I</b>nformation <b>E</b>xtraction), an aligned LLM that effectively solves various IE tasks, including closed IE, open IE, and on-demand IE. We first collect and construct a high-quality alignment corpus <font face="Verdana">IEInstruct</font> for IE. Then we train ADELIE<sub>SFT</sub> using instruction tuning on <font face="Verdana">IEInstruct</font>. We further train ADELIE<sub>SFT</sub> with direct preference optimization (DPO) objective, resulting in ADELIE<sub>DPO</sub>. Extensive experiments on various held-out IE datasets demonstrate that our models (ADELIE<sub>SFT</sub> and ADELIE<sub>DPO</sub>) achieve state-of-the-art (SoTA) performance among open-source models. We further explore the general capabilities of ADELIE, and experimental results reveal that their general capabilities do not exhibit a noticeable decline.
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- 📖 Paper: [ADELIE: Aligning Large Language Models on Information Extraction](https://arxiv.org/abs/2405.05008)
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</p>
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
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- **Model type:** Text Generation
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- **Language(s) (NLP):** English
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- **License:** LLaMA2 License for the base model.
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- **Finetuned from model [optional]:** LLaMA2-7B
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