Seongmin Lee

According to our database, Seongmin Lee authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety.

Seongmin Lee, Aeree Cho, Grace C. Kim, Shengyun Peng, Mansi Phute, Duen Horng Chau

CoRR, June, 2025

Shape it Up! Restoring LLM Safety during Finetuning.

Shengyun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau

CoRR, May, 2025

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models.

Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LLM Attributor: Interactive Visual Attribution for LLM Generation.

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

VG: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Max Mahdi Roozbahani, Duen Horng Chau

IEEE Trans. Vis. Comput. Graph., January, 2024

LLM Hallucination Reasoning with Zero-shot Knowledge Test.

Seongmin Lee, Hsiang Hsu, Chun-Fu Chen

CoRR, 2024

ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing.

Alec Helbling, Seongmin Lee, Polo Chau

CoRR, 2024

UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Self-Supervised Pre-Training for Table Structure Recognition Transformer.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions.

Alec Helbling, Seongmin Lee, Polo Chau

CoRR, 2024

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models.

Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau

CoRR, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Interactive Visual Learning for Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks.

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Effective Guidance for Model Attention with Simple Yes-no Annotations.

Seongmin Lee, Ali Payani, Duen Horng (Polo) Chau

Proceedings of the IEEE International Conference on Big Data, 2024

2023

High-Performance Transformers for Table Structure Recognition Need Early Convolutions.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2023

VisGrader: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Max Mahdi Roozbahani, Duen Horng Chau

CoRR, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

CoRR, 2022

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics.

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

CoRR, 2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau

CoRR, 2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.

Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau

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

MisVis: Explaining Web Misinformation Connections via Visual Summary.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022