About Me
I’m a Ph.D candidate at MLILAB at KAIST in Korea, advised by Prof. Eunho Yang.
Research Interests
My research goal is to develop reliable self-improving multimodal intelligence.
Toward this goal, I’m currently working on self-improving agents (closely working with Ninareh Mehrabi and Sina Shaham from Meta SuperIntelligence Labs) and reliable visual reasoning and image generation in large multimodal models (closely working with Viet Dac Lai from Adobe Research).
These directions are grounded in my broader background in reliable AI, jailbreaking in MLLMs, visual autoregressive models, and controllable image editing.
Preprints
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Co-Evolving Agents: Learning from Failures as Hard Negatives [paper]
Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi†, Eunho Yang† -
Web Agents Are Still Greedy: Progress-Aware Action Generation and Selection via Meta-Plan
Joonhyun Jeong, Gilhyun Nam, Yeonsung Jung, Eunho Yang -
MeZO-A3dam: Memory-efficient Zeroth-order Adam with Adaptivity Adjustments for Fine-tuning LLMs
Sihwan Park*, Jihun Yun*, Sung-Yub Kim, June Yong Yang, Yeonsung Jung, Souvik Kundu, Kyungsu Kim, Eunho Yang -
3D Scene Decomposition Under Occlusion via Multi-View-Aware Inpainting
Heecheol Yun, Yeonsung Jung, Eunho Yang
Conference Publications
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Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing [paper]
Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang
ICCV 2025 -
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing [paper]
Yoonjeon Kim*, Soohyun Ryu*, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang
CVPR 2025 -
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy [paper]
Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
CVPR 2025 -
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding [paper]
Doohyuk Jang*, Sihwan Park*, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim†, Eunho Yang†
ICLR 2025 -
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective [paper]
Yeonsung Jung*, Jaeyun Song*, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang
NeurIPS 2024 -
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency [paper]
Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim†, Eunho Yang†
ICML 2024 -
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation [paper]
Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
ICML 2023 -
Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection [paper]
Joyce Jiyoung Whang, Yeonsung Jung, Seonggoo Kang, Dongho Yoo, Inderjit S. Dhillon
The Web Conf. Workshop on CyberSafety: Computational Methods in Online Misbehavior 2020 -
Fast Asynchronous Anti-TrustRank for Web Spam Detection [paper]
Joyce Jiyoung Whang, Yeonsung Jung, Inderjit S. Dhillon, Seonggoo Kang, Jungmin Lee
WSDM Workshop on MIS2: Misinformation and Misbehavior Mining on the Web 2018
Work Experiences
- Research Intern, NAVER , Seongnam, South Korea. (July 2019 - Sept. 2019)
- Improve searching performance through click graph neural networks.
Acamdeic Services
- Conference Reviewer
- Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- Computer Vision and Pattern Recognition (CVPR)
- International Conference on Computer Vision (ICCV)
- Association for the Advancement of Artificial Intelligence (AAAI)
- Artificial Intelligence and Statistics (AISTATS)
- NACCL Workshop on TrustNLP
Lectures
SAMSUNG DS (2020–2022)
LG Electronics (2022)
HD Hyundai (2023)
LG Innotek (2022–2024)
LG Chem (2022)
DSME (2022–2023)