Awesome-LLM4IE-Papers

Awesome-LLM4IE-Papers

大型语言模型驱动的信息抽取研究进展综述

Awesome-LLM4IE-Papers项目收录了大型语言模型在信息抽取领域的前沿论文。涵盖命名实体识别、关系抽取和事件抽取等任务,以及监督微调、少样本和零样本学习等技术。项目还包括特定领域应用、评估分析和相关工具。通过持续更新,为研究人员提供LLM驱动的信息抽取最新进展,促进该领域的学术交流与技术创新。

LLM信息抽取命名实体识别关系抽取事件抽取Github开源项目

Awesome-LLM4IE-Papers

Awesome papers about generative Information extraction using LLMs

<p align="center" width="80%"> <img src="./image/intro.png" style="width: 50%"> </p>

The organization of papers is discussed in our survey: Large Language Models for Generative Information Extraction: A Survey.

If you find any relevant academic papers that have not been included in our research, please submit a request for an update. We welcome contributions from everyone.

If any suggestions or mistakes, please feel free to let us know via email at derongxu@mail.ustc.edu.cn and chenweicw@mail.ustc.edu.cn. We appreciate your feedback and help in improving our work.

If you find our survey useful for your research, please cite the following paper:

@misc{xu2023large,
    title={Large Language Models for Generative Information Extraction: A Survey}, 
    author={Derong Xu and Wei Chen and Wenjun Peng and Chao Zhang and Tong Xu and Xiangyu Zhao and Xian Wu and Yefeng Zheng and Enhong Chen},
    year={2023},
    eprint={2312.17617},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

📒 Table of Contents

💡 News

  • Update Logs
    • The details can be find in <code>./update_new_papers_list</code>.
    • 2024/06/06 Add 41 papers
    • 2024/03/30 Add 27 papers
    • 2024/03/29 Add 20 papers

Information Extraction tasks

A taxonomy by various tasks.

Named Entity Recognition

Models targeting only ner tasks.

Entity Typing

PaperVenueDateCode
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity TypingEMNLP Findings2023-12GitHub
Generative Entity Typing with Curriculum LearningEMNLP2022-12GitHub

Entity Identification & Typing

PaperVenueDateCode
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognitionOthers2024-05GitHub
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsArxiv2024-05
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?Arxiv2024-05
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity RecognitionCOLING2024-05
Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language ModelsOthers2024-04
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity RecognitionACL Findings2024-05GitHub
LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity MarkingArxiv2024-04GitHub
ToNER: Type-oriented Named Entity Recognition with Generative Language ModelCOLING2024-04
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language ModelsOthers2024-04
Knowledge-Enriched Prompt for Low-Resource Named Entity RecognitionTALLIP2024-04
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity RecognitionArxiv2024-04GitHub
LLMs in Biomedicine: A study on clinical Named Entity RecognitionArxiv2024-04
Out of Sesame Street: A Study of Portuguese Legal Named Entity Recognition Through In-Context LearningResearchGate2024-04
Mining experimental data from Materials Science literature with Large Language Models: an evaluation studyArxiv2024-04GitHub
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyWWW2024
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsNAACL2024GitHub
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction TasksArxiv2024-03GitHub
On-the-fly Definition Augmentation of LLMs for Biomedical NERNAACL2024-03GitHub
Distilling Named Entity Recognition Models for Endangered Species from Large Language ModelsArxiv2024-03
CHisIEC: An Information Extraction Corpus for Ancient Chinese HistoryCOLING2024-03GitHub
Augmenting NER Datasets with LLMs: Towards Automated and Refined AnnotationArxiv2024-03
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and ContextAAAI2024-03
Embedded Named Entity Recognition using Probing ClassifiersArxiv2024-03GitHub
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language ModelsArxiv2024-03GitHub
In-Context Learning for Few-Shot Nested Named Entity RecognitionArxiv2024-02
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity RecognitionArxiv2024-02
Structured information extraction from scientific text with large language modelsNature Communications2024-02GitHub
Rethinking Negative Instances for Generative Named Entity RecognitionArxiv2024-02GitHub
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated DataArxiv2024-02
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language ModelsArxiv2024-02
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionArxiv2024-02
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity RecognitionArxiv2024-02
Small Language Model Is a Good Guide for Large Language Model in Chinese Entity Relation ExtractionArxiv2024-02
C-ICL: Contrastive In-context Learning for Information ExtractionArxiv2024-02
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionICLR2024-01GitHub
Improving Large Language Models for Clinical Named Entity Recognition via Prompt EngineeringArxiv2024-01GitHub
2INER: Instructive and In-Context Learning on Few-Shot Named Entity RecognitionEMNLP Findings2023-12
In-context Learning for Few-shot Multimodal Named Entity RecognitionEMNLP Findings2023-12
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!EMNLP Findings2023-12GitHub
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetEMNLP2023-12GitHub
LLMaAA: Making Large Language Models as Active AnnotatorsEMNLP Findings2023-12GitHub
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined KnowledgeEMNLP Findings2023-12GitHub
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerArxiv2023-11GitHub
GPT Struct Me: Probing GPT Models on Narrative Entity ExtractionWI-IAT2023-10GitHub
GPT-NER: Named Entity Recognition via Large Language ModelsArxiv2023-10GitHub
Prompt-NER: Zero-shot Named Entity Recognition in Astronomy Literature via Large Language ModelsArxiv2023-10
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity RecognitionArxiv2023-09
One Model for All Domains: Collaborative Domain-Prefx Tuning for Cross-Domain NERIJCAI2023-09GitHub
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation ExtractionArxiv2023-08
Learning In-context Learning for Named Entity Recognition ACL2023-07GitHub
Debiasing Generative Named Entity Recognition by Calibrating Sequence LikelihoodACL Short2023-07
Entity-to-Text based Data Augmentation for various Named Entity Recognition TasksACL Findings2023-07
Large Language Models as Instructors: A Study on Multilingual Clinical Entity ExtractionBioNLP2023-07GitHub
NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER TasksACL Industry2023-07
Unified Named Entity Recognition as Multi-Label Sequence GenerationIJCNN2023-06
PromptNER : Prompting For Named Entity RecognitionArxiv2023-06

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