About
Hello, I am Jiwon Jeong, an AI Research Engineer at Lotte Innovate (AI Tech LAB, Language AI Team). I received my M.S. in Artificial Intelligence from Sungkyunkwan University, advised by Prof. Hogun Park.
My research focuses on reasoning in large language models, with a particular emphasis on language-mixed chain-of-thought and bilingual reasoning for Korean LLMs. I am broadly interested in how post-training elicits reliable reasoning across languages, and in evaluation frameworks that faithfully measure reasoning ability in low-resource settings.
My prior work spans logical fallacy detection and commonsense question answering.
I am actively seeking a Ph.D. position in NLP/LLM, aiming to build stronger reasoning models and contribute to open and beneficial AI.
I also contribute to open source, with merged patches to Hugging Face Transformers.
News
Education
Sungkyunkwan University, Dept. of Artificial Intelligence 2022 â 2024
M.S. in Artificial Intelligence. Advisor: Prof. Hogun Park.
Research on Commonsense QA and Logical Fallacy Detection.
Kookmin University, Dept. of Electronic Engineering 2016 â 2022
B.S. in Electronic Engineering. Major in Electronic Systems.
Publications
2025
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Jiwon Jeong, Hyeju Jang, Hogun Park
NAACL 2025 Findings
2022
Improving Commonsense-based QA Model through a Cycle-Encoder
Jiwon Jeong, Soyoung Lee, Hogun Park
KSC 2022 (Outstanding Paper Award, Top 10%)
Professional Experience
Lotte Innovate â AI Research Engineer Sep 2025 â Present
AI Research Engineer in AI Tech LAB, Language AI Team.
Teaching & Mentoring
LIKELION â Online Mentor (AI NLP Engineer Intensive Course, 3rd Cohort) Feb 2026
Mentoring 4 teams on AI-based service development projects. Code review, project coaching, and Q&A support.
Sungkyunkwan University â Teaching Assistant 2023 â 2024
TA for Language Model (SWE3032-41) and Deep Learning courses.
Activities
Pseudo-Lab (ę°ė§ė°ęĩŽė) â Runner, "Deep Dive into LLM" Mar 2026 â Present
Runner in the "Deep Dive into LLM" study group at Pseudo-Lab, a non-profit AI research community. Studying Stanford CS336: Language Modeling from Scratch (2026) through weekly online discussions, with plans to pursue a research project after the course.
B-Peach LAB (Tech for Impact) â AI Researcher Aug 2025 â Jan 2026
Designed evaluation metrics for an AI-powered text adaptation service for slow learners.
Selected Projects
Hugging Face Transformers â Open Source Contribution Mar 2026 â Present
[PR #45722] (merged Apr 2026) â Removed six dead dummy classes (BeamScorer, ConstrainedBeamSearchScorer, Constraint, ConstraintListState, DisjunctiveConstraint, PhrasalConstraint) left over after v5 cleanup. Fixed check_repo.py failure on PyTorch-less installs.
[PR #45486] (merged Apr 2026) â Reported and fixed a protobuf decode error masking bug in tokenizer loading.
[PR #44436] (merged Mar 2026) â Fixed a bug in continuous batching for multimodal models. Added input preprocessing and a fallback mechanism for non-text-only models.
MCP Server for ChatGPT Apps Jan 2026 â Present
Built Model Context Protocol servers for ChatGPT Apps (OpenAI). Designed middleware architecture connecting frontend, backend, and LLM-powered enterprise solutions.
Korean LLM Benchmark Dec 2025 â Jan 2026
Evaluation framework for Korean LLM performance across Korean NLP tasks with standardized metrics and reproducible pipelines. [GitHub]
Awards
KSC 2022 â Outstanding Paper Award Dec 2022
Top 10% of accepted papers.
Text Ethics Hackathon â 2nd Place Dec 2021
ELECTRA-based classification model for hate speech and biased text detection.