Minbyul Jeong

Minbyul Jeong

Korea University

H-index: 11

Asia-South Korea

About Minbyul Jeong

Minbyul Jeong, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Korea University, specializes in the field of Natural Language Processing, Question Answering, Named Entity Recognition, Graph Neural Network.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

Consistency enhancement of model prediction on document-level named entity recognition

Graph Transformer Networks: Learning meta-path graphs to improve GNNs

Data-centric and model-centric approaches for biomedical question answering

Pandemics are catalysts of scientific novelty: Evidence from COVID‐19

Enhancing label consistency on document-level named entity recognition

BERN2: an advanced neural biomedical named entity recognition and normalization tool

Regularization for Long Named Entity Recognition

Minbyul Jeong Information

University

Position

___

Citations(all)

1476

Citations(since 2020)

1469

Cited By

190

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Minbyul Jeong Skills & Research Interests

Natural Language Processing

Question Answering

Named Entity Recognition

Graph Neural Network

Top articles of Minbyul Jeong

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

arXiv preprint arXiv:2401.15269

2024/1/27

Minbyul Jeong
Minbyul Jeong

H-Index: 6

Mujeen Sung
Mujeen Sung

H-Index: 3

Consistency enhancement of model prediction on document-level named entity recognition

Bioinformatics

2023/6/1

Minbyul Jeong
Minbyul Jeong

H-Index: 6

Graph Transformer Networks: Learning meta-path graphs to improve GNNs

Neural Networks

2022/9/1

Data-centric and model-centric approaches for biomedical question answering

2022/8/25

Pandemics are catalysts of scientific novelty: Evidence from COVID‐19

Journal of the Association for Information Science and Technology

2022/8

Enhancing label consistency on document-level named entity recognition

arXiv preprint arXiv:2210.12949

2022/10/24

Minbyul Jeong
Minbyul Jeong

H-Index: 6

BERN2: an advanced neural biomedical named entity recognition and normalization tool

Bioinformatics

2022/10/15

Regularization for Long Named Entity Recognition

arXiv preprint arXiv:2104.07249

2021/4/15

Minbyul Jeong
Minbyul Jeong

H-Index: 6

KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering.

2021

Transferability of Natural Language Inference to Biomedical Question Answering

BioASQ Workshop, CLEF

2020/7/1

Answering questions on COVID-19 in real-time

2020/6/29

Learning by semantic similarity makes abstractive summarization better

arXiv preprint arXiv:2002.07767

2020/2/18

Wonjin Yoon
Wonjin Yoon

H-Index: 6

Minbyul Jeong
Minbyul Jeong

H-Index: 6

Answering Questions on COVID-19 in Real-Time (preprint)

2020

See List of Professors in Minbyul Jeong University(Korea University)

Co-Authors

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