Seongbo Jang

About Seongbo Jang

Seongbo Jang, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Pohang University of Science and Technology, specializes in the field of Natural Language Processing.

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

Exploring Language Model's Code Generation Ability with Auxiliary Functions

KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning

KLUE: Korean Language Understanding Evaluation

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Input initialization for inversion of neural networks using k-nearest neighbor approach

Seongbo Jang Information

University

Position

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Citations(all)

261

Citations(since 2020)

259

Cited By

7

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Seongbo Jang Skills & Research Interests

Natural Language Processing

Top articles of Seongbo Jang

Exploring Language Model's Code Generation Ability with Auxiliary Functions

arXiv preprint arXiv:2403.10575

2024/3/15

KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark

arXiv preprint arXiv:2402.17377

2024/2/27

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning

arXiv preprint arXiv:2202.13196

2022/2/26

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

2020/10/6

Seongbo Jang
Seongbo Jang

H-Index: 1

Input initialization for inversion of neural networks using k-nearest neighbor approach

Information Sciences

2020/5/1

See List of Professors in Seongbo Jang University(Pohang University of Science and Technology)

Co-Authors

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