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Ai-pre/README.md

Hi, I'm JaeSang Yun

AI undergraduate student at Gachon University, interested in building and analyzing intelligent systems around large language models, multimodal AI, reasoning, and world models.

I enjoy turning research ideas into working pipelines, especially when they involve model behavior analysis, safety alignment, Korean NLP, and multimodal interaction.

Portfolio Email

Research Interests

  • Large Language Models
  • Multimodal AI
  • Reasoning
  • World Models
  • LLM safety and value alignment

Education

  • Gachon University, Department of AI
    Mar. 2021 - Present, GPA: 4.2 / 4.5

Experience

  • Lab Intern, Natural Language Processing Lab (HLILap), Sungkyunkwan University
    Oct. 2025 - Present
  • Undergraduate Research Student, Natural Language Processing Lab (IDALap), Gachon University
    Jun. 2025 - Oct. 2025
  • Undergraduate Research Student, Natural Language Processing Lab (ISNLP), Gachon University
    Mar. 2025 - Jun. 2025

Tech Stack

Languages

Python C Java MySQL HTML5

AI / ML

PyTorch Hugging Face Transformers LoRA BERT R--GCN

Models & Methods

Llama Gemma Mistral Qwen KoELECTRA KoBigBird

Tools & Platforms

Linux Git GitHub Android Jetpack Compose

Selected Projects

Project What I Worked On Keywords
Transferable System Prompt via Activation Signatures Built a pipeline for prompt evaluation, hidden-state extraction, and activation-based analysis on Llama and Gemma to study prompt transfer across GSM8K, CSQA, SVAMP, and BoolQ. LLM analysis, activation signatures, prompt transfer
Value-Aligned LLM Safety Validation Reproduced a VIM / LoRA-based value alignment pipeline on Mistral-7B and benchmarked category-wise safety risks on BeaverTails and HEx-PHI. LLM safety, alignment, LoRA
MUTON: Real-Time Multimodal Dialogue System Built a streaming multimodal dialogue system with facial affect recognition, PCM audio streaming, Transformer fusion/generation, and Qwen2.5-Omni LoRA fine-tuning. Multimodal AI, dialogue, Qwen
Korean Dialogue KG Construction & Reasoning Developed an event/causal extraction pipeline, ATOMIC triple generation/translation, KG integration, R-GCN inference, and KG-enhanced LLM reasoning. Korean NLP, knowledge graph, reasoning
Korean AI-Generated Text Detection System Implemented a machine-generated text detection pipeline using KoELECTRA and KoBigBird with chunk voting and logit averaging. Korean NLP, text detection, transformers
Momentrip Developed a Jetpack Compose Android app for personalized travel recommendation and itinerary planning. Android, recommendation, planning

Awards & Honors

  • Excellence Award in the Poster Presentation, SW Festival for MUTON, School of AI and Software, Gachon University, Korea (Jun. 2026)
  • Academic Excellence Scholarship, Gachon University, Korea (Jan. 2026)
  • Academic Excellence Scholarship, Gachon University, Korea (Sep. 2025)
  • Academic Excellence Scholarship, SW-Centered University at Gachon University, Korea (Sep. 2025)
  • 2nd Place (ranking above graduation projects), SW Festival for Momentrip, School of AI and Software, Gachon University, Korea (Jul. 2025)
  • Academic Excellence Scholarship, SW-Centered University at Gachon University, Korea (Sep. 2022)
  • Learning Community, Gachon University, Korea (Jan. 2022)
  • Academic Excellence Scholarship, SW-Centered University at Gachon University, Korea (Sep. 2021)
  • Learning Community, Gachon University, Korea (Aug. 2021)
  • Academic Excellence Scholarship, Gachon University, Korea (Aug. 2021)

Certifications

  • Dusan Robotics Certification
  • Craftsman Information Processing

GitHub Stats

JaeSang's GitHub stats

Top Langs

Contact

Pinned Loading

  1. MUTON MUTON Public

    final muton

    Python 1 1

  2. MUTON-Android MUTON-Android Public

    For MUTON apps

    Kotlin 1

  3. SCOUT-System-prompt-Candidate-Ordering-Using-hidden-state-Traces SCOUT-System-prompt-Candidate-Ordering-Using-hidden-state-Traces Public

    Activation-signature pilot for transferable system prompt research.

    Python

  4. Anime-recommendation-system Anime-recommendation-system Public

    Python