Scholar
Hwiyeol Jo
Google Scholar ID: hFSHr0gAAAAJ
Research Scientist, at NAVER Cloud
Citations & Impact
Citations
236
H-index
7
i10-index
6
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Preprint/Under Reviews:
- - Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
- - HyperCLOVA X THINK Technical Report
- - Accepted:
- - ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models (ACL2025 Findings)
- - Taxonomy and Analysis of Sensitive User Queries in Generative AI Search (NAACL2025 Findings)
- - Self-supervised Post-processing Method to Enrich Pretrained Word Vectors (EMNLP2023 Findings)
- - A Self-Supervised Integration Method of Pretrained Language Models and Word Definitions (ACL2023 Findings)
- - Modeling Mathematical Notation Semantics in Academic Papers (EMNLP2021 Findings)
- - Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Fi (incomplete)
Research Experience
- - Research Scientist at NAVER Cloud
- - Adjunct Professor at Konkuk University
- - Core Contributor to several research projects including:
- - Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection
- - Ruminating Word Representations with Random Masker, proposed an iterative training method for better word representation and model regularization
Education
- - M.S. in Computer Science & Engineering, Seoul National University, Republic of Korea, Advisor: Byoung-Tak Zhang, Master Thesis: Data Augmentation Technique with Knowledge Extraction for Text Question Answering by Deep Neural Networks
- - B.S. in Computer Science & Engineering, Konkuk University, Republic of Korea
- - Military service at Third Republic Of Korea Army; TROKA
Background
- - Research Interests: Artificial Intelligence with Cognitive Science, Machine Learning for Natural Language Processing to investigate human minds
- - Research Keywords: Knowledge Transfer through Representation Learning, incorporating (lexical) semantics, information retrieval, general machine learning frameworks for self-supervised representation learning (Large Language Models are no more research topic but research tools)
Co-authors