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
| Sep 27, 2024 |
A research paper on Boundary Detection in Time Series was accepted at NeurIPS 2024.
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| Sep 21, 2024 |
Hwanjun Song is serving as an Area Chair for ICLR 2024.
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| Sep 21, 2024 |
A research paper on Fine-grained, Multi-dimensional Summarization Evaluation was accepted at the Findings of EMNLP 2024. Another paper on Summary Fact Verifier was accepted at the FEVER workshop of EMNLP 2024.
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| Jul 2, 2024 |
A research paper on Controllable Contextualized Image Captioning was accepted at ECCV 2024.
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| May 31, 2024 |
A research paper on Open-vocabulariy Object Detection with Transformers was accepted at the Journal of Pattern Recognition(SCIE, IF=8.0, Q1).
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| May 17, 2024 |
A research paper on Quantization of Hybrid Vision Transformers was accepted at the IEEE Internet of Things Journal(SCIE, IF=10.6, Q1).
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| May 16, 2024 |
Two research papers on an Automatic Evaluator of Text Summarization and Unravelling Challenges with Intent Encoders were accepted at the main track of ACL 2024 (long paper).
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