I received my Ph.D. from the Graduate School of AI, KAIST, under the supervision of Prof. Eunho Yang at the Machine Learning and Intelligence Lab.
Research Interests
My recent research interests center on personal agents and recursive self-improvement (RSI): how agents can grow more capable through experience while remaining safe and responsive to individual users.
- Personal Agents: A self-evolving red-teaming framework for personal agents across multi-service ecosystems (Preprint’26), and personalized preference memory.
- Self-Evolving Agents: Self-evolution from long-horizon trajectories (Preprint’26), and skill memory for unknown actions and new tasks in evolving environments.
- Reliability: Robust visual reasoning through interpreting and steering vision-language model activations (Preprint’26), and robust learning with biased data (ICML’23, ICML’24, NeurIPS’24).
News
- Sep 2026
- Co-organizing AdvML-Frontiers × CoTMA at COLM 2026.
- Jun 2026
- Joined Meta Superintelligence Labs as a Research Scientist Intern (Menlo Park).
- Nov 2025
- Successfully defended my Ph.D. dissertation (Committee: Eunho Yang, Jinwoo Shin, Jong Chul Ye, Jaegul Choo, Se-Young Yun).
- Jun 2025
- One paper accepted to ICCV 2025.
- Jan 2025
- One paper accepted to ICLR 2025.
- Sep 2024
- One paper accepted to NeurIPS 2024.
- May 2024
- One paper accepted to ICML 2024.
- Apr 2023
- One paper accepted to ICML 2023.
Preprints
-
X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems
[paper] [project]
Yeonsung Jung, Zhiyuan Wang, Zifan Wang, Vítor Albiero, Benjamin Newman, Edoardo Debenedetti, Ivan Evtimov, Ninareh Mehrabi -
Looks the Same, Answers Differently: Flip-Direction Steering for Robust Vision-Language Reasoning [paper] [project]
Yeonsung Jung, Joonhyun Jeong, Hoang Pham, Joowon Kim, Yoonsik Park, Viet Dac Lai†, Eunho Yang† -
Co-Evolving Agents: Learning from Failures as Hard Negatives [paper] [project]
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
Conference Publications
-
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 Experience
- Research Scientist Intern, Meta Superintelligence Labs, Reality Labs Research, Menlo Park (Jun 2026–Nov 2026)
- A self-evolving red-teaming framework for personal agents across multi-service ecosystems (X-AgentRed).
- Graph-structured skill memory for unknown actions and new tasks in evolving environments.
- Personalized preference memory for personal agents.
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Postdoctoral Researcher, KAIST, Seoul, South Korea (Mar 2026–May 2026)
- External Collaborator, NAVER AI, Seongnam, South Korea (Sep 2023–Feb 2024)
- Robust learning for neural radiance fields; PruNeRF (ICML 2024).
- Research Intern, NAVER Search, Seongnam, South Korea (Jul 2019–Aug 2019)
- Graph-based ranking and search relevance for production systems.
Academic Service
- Workshop Organizer
- 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)
- NAACL Workshop on TrustNLP
Teaching Experience
SAMSUNG DS (2020–2022)
LG Electronics (2022)
HD Hyundai (2023)
LG Innotek (2022–2024)
LG Chem (2022)
DSME (2022–2023)