Welcome!

I am a fourth-year Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign advised by Prof. Julia Hockenmaier. My research primarily centers around:

Improving LLMs with structured reasoning
Enhancing LLM interpretability
Creating and analyzing novel deep learning model architectures

Education

University of Illinois at Urbana-Champaign Aug 2021 ~ Current
- Ph.D. student in Computer Science
Seoul National University Mar 2013 ~ Feb 2021
- B.S. in Electrical and Computer Enginering

Fellowships

University of Illinois at Urbana-Champaign
- CS Ph.D. Fellowship Sep 2023 - May 2024
- CS Ph.D. Fellowship Sep 2024 - May 2025

Publications

Anonymous
Submitted to ARR 2024 August, Resubmitted to ARR 2024 October
Ikhyun Cho, Changyeon Park, and Julia Hockenmaier
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance
EMNLP 2024 Findings
Ikhyun Cho, Gaeul Kwon, and Julia Hockenmaier
VisualSiteDiary: A Detector-Free Vision-Language Transformer Model for Captioning Photologs for Daily Construction Reporting and Image Retrievals
Elsevier: Automation in Construction
Yoonhwa Jung, Ikhyun Cho, and Julia Hockenmaier
SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token
EMNLP 2023 Findings
Ikhyun Cho, Yoonhwa Jung, and Julia Hockenmaier
Duplicate-and-Share: A Novel Approach to Efficient Vision Transformer Unlearning
Under review at AAAI 2025
Ikhyun Cho, Changyeon Park, and Julia Hockenmaier
Pea-KD: Parameter-efficient and accurate Knowledge Distillation on BERT
PLOS ONE 2022
Ikhyun Cho and U Kang
SensiMix: Sensitivity-Aware 8-bit index & 1-bit value mixed precision quantization for BERT compression
PLOS ONE 2022
Tairen Piao, Ikhyun Cho, and U Kang