Data Intelligence System Lab. (DISL)
Department of Industrial and Systems Engineering & Graduate School of Data Science, KAIST, South Korea
E2 #3110, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea
Welcome to the DISL Lab. We are dedicated to pioneering advancements in the field of artificial intelligence (AI). Our vision is centered on the pursuit of data-centric approaches that enhance the perofrmance of AI algorithms and systems.
The foundation role of data remains unwavering, even as AI trends evolve rapidly. Our research interests involve making innovations with cutting-edge technologies in various domains, including computer vision (CV) and natural language processing (NLP). Our research scope is expansive and adapts with the advancements in AI. Currently, our primary focus lies in tackling novel challenges in data for natural language generation, including how to evaluate LLM’s outputs, how to expedite the Transformer’s inference, and etc. Additionally, we are actively exploring data-robust and data-efficient AI modeling, including learning with imperfect data, and AI traning and inference under real-world setup, which encompasses continual learning and online adaptation.
Please see the Join tab if you are interested in applying for Intern, MS, PhD, and PostDoc positions.
We are advocating a new research scholar for ATML fellowship. See ATML Fellowship.
You can catch up our recent research interest on our Youtube channel.
News
| Mar 20, 2025 |
A paper on a time-series benchmark dataset was accepted at ICWSM 2025.
|
|---|---|
| Mar 10, 2025 |
Two new MS students (Minjeong Ban and Kibum Kim) have joined at DISLab.
|
| Feb 27, 2025 |
Yuho Lee, MS student, will join Amazon Web Services Inc. (AWS Bedrock team) as an Applied Scientist Intern during the summer.
|
| Jan 24, 2025 |
Two papers on Hallucination and Preference Optimization were accepted at the Main conference of the NAACL. Both are selected as Oral presentation.
|
| Jan 23, 2025 |
A research paper on RAG-based Test Time Adaptation was accepted at ICLR 2025.
|
| Jan 3, 2025 |
A research paper on Fact Verification was accepted at COLING 2025. This paper was selected as the Oral presentation.
|