Ikhyun Cho

12 papers A* 1A 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
On the Versatility of Sparse Autoencoders for In-Context Learning.
EMNLP (Findings)
Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
2025 — conf
The Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models.
NAACL (Findings)
Ikhyun Cho, Changyeon Park, Julia Hockenmaier
2025 A* conf
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models.
EMNLP
Ikhyun Cho, Julia Hockenmaier
2024 J jnl
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization.
CoRR
Yoonhwa Jung, Ikhyun Cho, Shun-Hsiang Hsu, Julia Hockenmaier
2024 — conf
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance.
EMNLP (Findings)
Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
2024 J jnl
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers.
CoRR
Ikhyun Cho, Changyeon Park, Julia Hockenmaier
2023 A conf
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting.
CIKM
Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho
2023 — conf
SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token.
EMNLP (Findings)
Ikhyun Cho, Yoonhwa Jung, Julia Hockenmaier
2022 J jnl
Regional Precipitation Nowcasting Based on CycleGAN Extension.
CoRR
Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho
2020 J jnl
Pea-KD: Parameter-efficient and Accurate Knowledge Distillation.
CoRR
Ikhyun Cho, U Kang
2014 — conf
Design of data backup on distributed memory system based on key-value store using hot/cold data management.
RACS
Woochur Kim, Ikhyun Cho, Donghee Min, Chris Sung
2014 — conf
HILF: hybrid indoor locating framework.
RACS
Daeho Kim, Taegyu Hwang, Sanghoon Choi, Ikhyun Cho, Jiman Hong