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 current research centers on attention architecture and efficiency and mechanistic interpretability in large language models.
I am additionally working on an ongoing research project on intralingual translation for slow learners, aimed at improving information accessibility.
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 β 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 β 2022
B.S. in Electronic Engineering. Major in Electronic Systems.
Publications
2026 Β· Under Review
Title withheld β under double-blind review
NeurIPS 2026 NeurReps Workshop (Extended Abstract)
Title withheld β under double-blind review
NeurIPS 2026 Interpretability as a Science (InterpScience) Workshop
Title withheld β under double-blind review
NeurIPS 2026 Workshop on SLMs for Agentic Systems (SLM-Agents)
Title withheld β under double-blind review
ICLR 2027 (main conference)
Title withheld β under double-blind review
ICLR 2027 (main conference)
2026
Beyond Recovery Rate: Post-Recovery Verification and Reporting Gaps in Failure-Aware Evaluation of LLM Agents
(볡ꡬμ¨μ λμ΄: LLM κΈ°λ° μμ΄μ νΈ μ€ν¨ λμ νκ°μμμ μ¬ν κ²μ¦κ³Ό λ³΄κ³ νλͺ© λΆμ)
Jiwon Jeong, Hyunmook Cha
The 7th Korea Artificial Intelligence Conference (μ 7ν νκ΅μΈκ³΅μ§λ₯νμ λν), Jeju, SepβOct 2026
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 β AI Research Engineer Sep 2025 β Present
AI Research Engineer in AI Tech LAB, Language AI Team.
Teaching & Mentoring
LIKELION β 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 β Teaching Assistant 2023 β 2024
TA for Language Model (SWE3032-41) and Deep Learning courses.
Activities
Stationhouse β Research Contributor, ConspiracyBench Sep 2026 β Present
Contributing to Stationhouse, an open research community building infrastructure for open model research. Working on ConspiracyBench, an LLM evaluation benchmark β contributing to schema design and benchmark item submission.
Modulabs (λͺ¨λμμ°κ΅¬μ) β Member, LLM Quantization LAB Oct 2026 β Dec 2026
Member of LLM κ²½λν Β· μμν Quant LAB at λͺ¨λμμ°κ΅¬μ, led by μ΅λνΈ. Research focus on low-bit quantization for LLMs and VLMs β reproducing GPTQ / AWQ and exploring new directions (VLM quantization, LoRA-based quantization), targeting an international conference submission.
Modulabs (λͺ¨λμμ°κ΅¬μ) β Member, Tensor2Silicon LAB Sep 2026 β Nov 2026
Member of Tensor2Silicon LAB at λͺ¨λμμ°κ΅¬μ, an 8-week study group led by μ΄μλΉ (JAX-KR organizer). Covers the full AI-accelerator pipeline β models & computation graphs, kernels, compilers, runtimes, and GPU / TPU / NPU. Weekly on-site sessions at Gangnam Campus.
Pseudo-Lab (κ°μ§μ°κ΅¬μ) β Runner, "Deep Dive into LLM" Mar 2026 β Jul 2026
Runner in the "Deep Dive into LLM" study group at Pseudo-Lab, a non-profit AI research community. Studied 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) β AI Researcher Aug 2025 β Jan 2026
Designed evaluation metrics for an AI-powered text adaptation service for slow learners.
Selected Projects
Hugging Face Transformers β Open Source Contribution Mar 2026 β Present
[PR #45722] (merged Apr 2026) β 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) β Reported and fixed a protobuf decode error masking bug in tokenizer loading.
[PR #44436] (merged Mar 2026) β 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 β 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 β Jan 2026
Evaluation framework for Korean LLM performance across Korean NLP tasks with standardized metrics and reproducible pipelines. [GitHub]
Awards
KSC 2022 β Outstanding Paper Award Dec 2022
Top 10% of accepted papers.
Text Ethics Hackathon β 2nd Place Dec 2021
ELECTRA-based classification model for hate speech and biased text detection.