Jisoo Mok

According to our database, Jisoo Mok authored at least 22 papers between 2021 and 2026.

Collaborative distances:

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

2026

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning.

Sangkwon Park, Donghun Kang, Jisoo Mok, Sungroh Yoon

CoRR, May, 2026

Contextualized Visual Personalization in Vision-Language Models.

Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon

CoRR, February, 2026

SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination.

Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift.

HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models.

Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon

CoRR, June, 2025

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection.

HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis.

Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation.

HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.

Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens.

Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon

CoRR, 2024

Textual Training for the Hassle-Free Removal of Unwanted Visual Data.

Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

CoRR, 2024

Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation.

Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon

CoRR, 2024

Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection.

Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems.

Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2023

On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.

Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

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

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It.

Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks.

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation.

Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Neural Architecture Search via Proxy Data.

Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdvRush: Searching for Adversarially Robust Neural Architectures.

Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Variance-stationary Differentiable NAS.

Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon

Proceedings of the 32nd British Machine Vision Conference 2021, 2021