Update README.md

README.md

@@ -25,7 +25,8 @@ license: apache-2.0
 雅意信息抽取统一大模型 (YAYI-UIE)在百万级人工构造的高质量信息抽取数据上进行指令微调，统一训练信息抽取任务包括命名实体识别（NER），关系抽取（RE）和事件抽取（EE），实现通用、安全、金融、生物、医疗、商业、
 个人、车辆、电影、工业、餐厅、科学等场景下结构化抽取。
 
-通过雅意IE大模型的开源为促进中文预训练大模型开源社区的发展，贡献自己的一份力量，通过开源，与每一位合作伙伴共建雅意大模型生态。如果您想了解更多关于 YAYI UIE 模型的细节，我们建议您参阅 [GitHub](https://github.com/wenge-research/yayi_uie) 仓库。更多技术细节，敬请期待我们的技术报告🔥。
+通过雅意IE大模型的开源为促进中文预训练大模型开源社区的发展，贡献自己的一份力量，通过开源，与每一位合作伙伴共建雅意大模型生态。如果您想了解更多关于 YAYI UIE 模型的细节，我们建议您参阅 [GitHub](https://github.com/wenge-research/yayi_uie) 仓库。更多技术细节，欢迎阅读我们的技术报告🔥[YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal
+Information Extraction](https://arxiv.org/abs/2312.15548)。
 
 模型下载地址是 https://huggingface.co/wenge-research/yayi-uie
 
@@ -33,7 +34,8 @@ The YAYI Unified Information Extraction Large Language Model (YAYI UIE), fine-tu
 Recognition (NER), Relation Extraction (RE), and Event Extraction (EE). The model is able to extract structured outputs across diverse fields including general, security, 
 finance, biology, medicine, business, personal, automotive, film, industry, restaurant, and science.
 
-The open-source of YAYI-UIE aims to foster the growth of the Chinese PLM open-source community. We can't wait to collaborate with our partners to develop the YAYI Large Models ecosystem! For more details about the YAYI UIE, please refer to our  [GitHub](https://github.com/wenge-research/yayi_uie)  repository. Stay tuned for more technical details in our upcoming technical report! �
+The open-source of YAYI-UIE aims to foster the growth of the Chinese PLM open-source community. We can't wait to collaborate with our partners to develop the YAYI Large Models ecosystem! For more details about the YAYI UIE, please refer to our  [GitHub](https://github.com/wenge-research/yayi_uie)  repository. For more technical details, please read our technical report 🔥YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal
+Information Extraction.
 
 ![instruction](./assets/YAYI-UIE-1.png)