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  • 2024

  • A survey on integration of large language models with intelligent robots

    Yeseung Kim, Dohyun Kim, Choi, Jieun, Park, Jisang, Oh, Nayoung, Park Daehyung
    INTELLIGENT SERVICE ROBOTICS
    2024

  • AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients

    Kim, Dae Hyun, Shin, Hyungyu, Yadgarova, Shakhnozakhon, Son, Jinho, Subramonyam, Hariharan, Juho Kim
    DIS '24: Designing Interactive Systems Conference
    2024

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  • ARXIVDIGESTABLES: Synthesizing Scientific Literature into Tables using Language Models

    Newman, Benjamin, Lee, Yoonjoo, Naik, Aakanksha, Siangliulue, Pao, Fok, Raymond, Juho Kim, Weld, Daniel S., Chang, Joseph Chee, Lo, Kyle
    2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
    2024

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  • Accelerating String-key Learned Index Structures via Memoization-based Incremental Training

    Minsu Kim, Jinwoo Hwang, Guseul Heo, Cho, Seiyeon, Mahajan, Divya, PARK JONGSE
    PROCEEDINGS OF THE VLDB ENDOWMENT
    2024

  • Active Prompt Learning in Vision Language Models

    Jihwan Bang, Ahn, Sumyeong, Lee Jae-Gil
    2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024
    2024

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  • Adaptive Shortcut Debiasing for Online Continual Learning

    Kim, Doyoung, Park, Dongmin, Shin, Yooju, Bang, Jihwan, Song, Hwanjun, Lee Jae-Gil
    38th AAAI Conference on Artificial Intelligence, AAAI 2024
    2024

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  • Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

    Soyeong Jeong, Baek, Jinheon, Sukmin Cho, Hwang Sung Ju, Jong C. Park
    2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
    2024

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  • Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization

    Jhin, Sheo Yon, Kim, Seojin, Park, Noseong
    30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024
    2024

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  • Algorithmic Spread of “Nationalist Kitsch”: The Case of South Korea’s Gukppong YouTubers

    Jun, Bong Gwan, Seering, Joseph, Jee, Jonghyun
    Digital Korea: Stories, Systems and Spaces of Connection
    2024

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  • An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

    Shin, Yehjin, Choi, Jeongwhan, Wi, Hyowon, Park, Noseong
    38th AAAI Conference on Artificial Intelligence, AAAI 2024
    2024

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  • An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module

    Putro, Muhamad Dwisnanto, Ruindungan, Dirko G.S., Syahputra, Rendy, Tae-Hyun Oh, Chun, ll Yong, Poekoel, Vecky Canisius
    2024 International Workshop on Intelligent Systems, IWIS 2024
    2024

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  • An Empirical Study of JVMs' Behaviors on Erroneous JNI Interoperations

    Hwang, Sungjae, Lee, Sungho, Sukyoung Ryu
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
    2024

  • An Empirical Study of Utility and Disclosure Risk for Tabular Data Synthesis Models: In-Depth Analysis and Interesting Findings

    Park, Dae-Young, In-Young Ko
    2024 IEEE International Conference on Big Data and Smart Computing, BigComp 2024
    2024

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  • An Extensible Modeling Method Supporting Ontology-Based Scenario Specification and Domain-Specific Extension

    Baek, Young-Min, Cho, Esther, Shin, Donghwan, Doo-Hwan Bae
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
    2024

  • An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

    Taeyoung Kim, Hongseok Yang
    The 41st International Conference on Machine Learning (ICML 2024)
    2024

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  • An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

    Kim, Minkyung, Yu, Jongmin, Kim, Junsik, Tae-Hyun Oh, Choi, Jun Kyun
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
    2024

  • An LLM-driven Framework for Dynamic Infrastructure as Code Generation

    Junhee Lee, Kang, SungJoo, In-Young Ko
    MIDDLEWARE '24: 25th International Middleware Conference
    2024

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  • Ansible 프로젝트를 위한 교차 프로젝트 결함 예측

    이선구, 권순재, 류덕산, 백종문
    정보과학회논문지
    2024

  • Arbitrary-Scale Image Generation and Upsampling Using Latent Diffusion Model and Implicit Neural Decoder

    Kim, Jinseok, Kim Tae Kyun
    2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024
    2024

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  • Are Multi-view Edges Incomplete for Depth Estimation?

    Khan, Numair, Min H. Kim, Tompkin, James
    INTERNATIONAL JOURNAL OF COMPUTER VISION
    2024