Self-motivated and passionate graduate student researcher at ITML at Yonsei University, South Korea.
Regardless of type of task, I try to figure out the essential principle from the problem and make a scalable solution.
yjkim.stat@yonsei.ac.kr
Yejin Kim
Interested in
Inference Algorithm basd on Large Language Model
Conversational AI and LLM based Evaluation
Theory and applications of foundation models in language model(e.g. BERT, GPT)
Past Research Topics
[Research] Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
ICML '25
[arxiv Link]
[Research] Aligning large language models for cognitive behavioral therapy: a proof-of-concept study
Frontiers in Psychiatry
[journal Link]
[Research] Linq-Embed-Mistral Technical Report
Technical report
[arxiv Link]
[Research] ERD : A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
NAACL '24 Clinical Workshop
[arxiv Link]
[Intern] Text Embedding Model with Mistral 7B :Research Intern @ Linq
January 2024 ~ February 2024
[Post Link]
[Research] Edge-aware aggregation for deep Graph Neural Network
March 2023 ~ June 2023
[Github Link]
[Intern] Implement Neurocard which is Data-driven query optimization model on several environments and make API @ SAP Labs Korea
July 2022 ~ June 2023
[Paper] Data Importance-Aware Scheduling for Exploiting Diversity of Distributed Data
July 2021 ~ June 2022
[ Paper Link]
Project Topic
[Algorithm] Data-driven evaluation system on reading ability of elementary schoold students using eye tracking data @ Visual Camp corp
Dec 2022
(Public) [Github LINK]
[NLP] Framework for Text Style Transfer: from data processing to implmentation of Style LM model
Dec 2022
[Github LINK]
[Recommendation System] Implementation of Deep-learning based recommendation service on My-Data infrastructure
Dec 2022
[paper LINK]
[CV] implmentation of mobile application service of Deep-learning based Object Detection model
Dec 2022
[Github LINK]
[CV] Recommendation based on Instance Segmentation and Data Embedding
May 2022
[Github LINK]
[Clustering] Data-driven Social problem solution Competition
Sep 2021
[Github LINK]