Statistical Artificial Intelligence Lab@KAIST

Artificial Intelligence and Machine Learning Research ⛵️

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[Paper] A paper on reliable feature attribution is accepted at ICML 2026.

A paper, Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution by Soyeon Kim, Seongwoo Lim, Kyowoon Lee, and Jaesik Choi is accepted at International Conference on Machine Learning (ICML), 2026.

[Paper] A paper on diversifying text-to-image generation is accepted at ICML 2026.

A paper, Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation by Dahee Kwon, Haeun Lee, and Jaesik Choi is accepted at International Conference on Machine Learning (ICML), 2026.

[Paper] A paper on robust sequential conformal prediction is accepted at ICML 2026.

A paper, DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction by Enver Menadjiev, Jihyeon Seong, Jisu Yeo, and Jaesik Choi is accepted at International Conference on Machine Learning (ICML), 2026.  

[Paper] A paper on LLM jailbreaks has been accepted to Findings of ACL 2026.

A paper, Incomplete Prompt Jailbreaks in Large Language Models, written by Yeonjea Kim, Bumjin Park, and Jaesik Choi is accepted at Findings of ACL 2026.

[Paper] A paper on a Korean meteorology benchmark has been accepted to Findings of ACL 2026.

A paper, K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology, written by Soyeon, Cheongwoong, Myeongjin Lee, and Jaesik Choi is accepted at Findings of ACL 2026.  

[Paper] A paper is accepted at ACM Computing Surveys (2026).

A paper, Towards Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability, written by Youngjin Park, Anh Tong, Sehyun Lee, Jihyeon Seong, Qin Xie, and Jaesik Choi, is accepted at ACM Computing Surveys, 2026.

[Paper] A paper on diffusion planning is accepted at NeurIPS 2025.

[Paper] A paper, State-Covering Trajectory Stitching for Diffusion Planners, written by Kyowoon Lee and Jaesik Choi, is accepted at Conference on Neural Information Processing Systems (NeurIPS) 2025.

[Award] The 2025 INFFUS Best Paper Award

A review paper on XAI receives the best paper award from Information Fusion. Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue,… Continue Reading →

[Paper] A paper on adversarial robustness in deep neural networks is accepted at ICDM 2025.

A paper, On the Relationship between Populated Regions and Adversarial Robustness in Deep Neural Networks, written by Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, and Jaesik Choi is accepted at ICDM 2025.

[Paper] A paper on semantic inconsistency in LLMs has been accepted to Findings of EMNLP 2026.

    A paper, When Format Changes Meaning: Investigating Semantic Inconsistency of Large Language Model, written by Cheongwoong Kang, Jongeun Baek, Yeonjea Kim, and Jaesik Choi is accepted at Findings of EMNLP 2025.

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