Seunghyuk Cho

According to our database, Seunghyuk Cho authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems.

Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo, Youngbin Choi, Saemi Moon, MoonJeong Park, Dongwoo Kim

CoRR, May, 2026

Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification.

MoonJeong Park, Seungbeom Lee, Kyungmin Kim, Jaeseung Heo, Seunghyuk Cho, Shouheng Li, Sangdon Park, Dongwoo Kim

CoRR, March, 2026

Training-free Composition of Pre-trained GFlowNets for Multi-Objective Generation.

Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim

CoRR, February, 2026

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey.

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning.

Youngbin Choi, Minjong Lee, Saemi Moon, Seunghyuk Cho, Chaehyeon Chung, MoonJeong Park, Dongwoo Kim

CoRR, October, 2025

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey.

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

CoRR, May, 2025

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder.

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

CoRR, February, 2025

CoPL: Collaborative Preference Learning for Personalizing LLMs.

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder.

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Feature Unlearning for Pre-trained GANs and VAEs.

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee

CoRR, 2023

Feature Unlearning for Generative Models via Implicit Feedback.

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

CoRR, 2023

Hyperbolic VAE via Latent Gaussian Distributions.

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GM-VAE: Representation Learning with VAE on Gaussian Manifold.

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

CoRR, 2022

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning.

Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Deep Learning from Crowds with Belief Propagation.

Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Semi-supervised Image Classification with Grad-CAM Consistency.

Juyong Lee, Seunghyuk Cho

CoRR, 2021

Roughly Collected Dataset for Contact Force Sensing Catheter.

Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang

CoRR, 2021