🚀 About Me

📫 E-mail : [email protected]

📥 Github : 🖱Github

💻 Velog : 📎Velog

📞 Phone : 010-4909-4946

💡 Strength:

• Proficient in analyzing code and comfortable with dissecting and modifying internal code of libraries like HuggingFace, Accelerate(fsdp), Django, etc.
• Quick at implementing code based on understanding of its logic.
• Possesses knowledge not only in AI but also across various areas of Computer Science.
• Enjoys engaging in conversations with others and is highly active in collaboration and communication.

🎓 ****Education

Korea Advanced Institute(M.S.)

• Graduate School of AI

LAB. Xfact Lab

2024.03 -

Let's take a breath : Step-Wise Pause Learning for Better Reasoning

• 2024.03.15 ~
• First Author

Continuation of "Training Language Models With Pause Tokens"(ICLR 2024, Google Research)

This ongoing research adopts a methodology where, during the generation of the K+1 token, not only the previous K steps are utilized but also incorporates dummy [PAUSE] tokens, increasing the computation steps to K+M.

Unlike the original paper’s approach of appending 10 [PAUSE] tokens to the suffix of the prompt, this study focuses on analyzing the effect of noise token with measuring likelihood and attention flows in reasoning task.

Moreover, this research employs fine-tuning instead of pre-training utilized in previous studies, aiming to enhance performance and efficiency.

Korea Univ.

• major : Computer Science

2017.03 - 2024.02

GPA. 4.4 / 4.5 (98.9/100)

Major GPA. 4.35 / 4.5

Scholarship.

Received Korea University’s Best Student Award every semester.

🏢 Experience

LDI Lab. SNU.

Research Intern

1. 3. ~ 2023. 08.

Code Generation with analysis of partially correct with evidence of variable state

Developing idea of <Learning from Self-Sampled Correct and Partially> paper and generalized in general code.

Conducting research on introducing blocking techniques to derive the state from general code and implementing it as a tool of verification to learn the model through it.

Among the incorrect answer codes generated by the model, the code that generated the appropriate variable state in the middle is used as evidence of partially correct answer and used for resampling.

• Learned about the whole process of planning and researching papers.
• Developed the ability to use libraries such as deepspeed and accelerate, and the ability to implement DDP.

LG AI Research

Language Lab Text Analytics Squad

Internship

2022. 08 ~ 2023. 02

Main: AICC(A.I. Contact Center)

127 categories classification of consultation types.

320 categories classification of VOC type based on STT text.

Sentiment Analysis on 5 level.

• Modeling Hierarchical Autoregressive Structure, Hierarchical Inductive Bias Model based on LG AI EXAONE(1.7B)
  • Solving problems for hierarchical classification
  • Pruning Structure for model
• Improved performance with implementation of LDAM Loss, Class Balanced Loss, Focal Loss, Label Smoothing.
• Curriculum Learning based on analysis logit values of data.
• Assist hypothesis verification in real environment.

Assist: Generation Span Prediction and NER

Based on Generation Model, extracted Noun phrase and make it as a prompt for NER.

• Working on model experiment, post processing, data building

Assist: Ko-BERT PLM based on QA

Korean Version PLM of <From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader> Experiment

• Responsible for pre-train Ko-BERT with QA method and TAPT with data requested by affiliates
• Builded QA data with National Institute of the Korean Language, Wiki, DACON

✏️ Extracurricular

Google Developer Student Club Korea Univ.(KUGODS)

2023.02 - 2023.06

As a core member participate in google solution challenge

• ALDA: Create an interactive diary application for Alzheimer's patients using chat-gpt, whisper, and dall-e.
• Responsible for prompt tuning, build API with Django.
• ALDA Presentation Youtube
• https://alda-web.vercel.app App

NAVER AI TECH Boostcamp

NLP Track

2022.03 - 2022.06

Learned the essentials for an ML Engineer.

• Mathematics, deep learning models, building pipelines, etc.

Participated in 3 NLP competitions and projects, 1 data production project.

• Gompada(곰파다) - Descriptive Automated Scoring System
• Open-Domain Question Answering
• Relation Extraction

Korea Univ. Big Data Academic Society(KUBIG)

Management and Mentor

2022.06 - 2022.12

Leaded paper review study about Computer Vision and participated in DACON as a team.

• ex1) AlexNet
• ex2) ViT

Korea Univ. Computer Club

Management and Mentor

2021.02 - 2023.06