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AI is Computing Theory 인공지능과 전산이론

더 정확한, 편리한, 안전한, 공평한, 설명 가능한 AI를 개발하기 위해 통계학, 해석학뿐만 아니라 계산 이론, 소프트웨어 공학, 프로그래밍 언어 등 전산 이론 기반이 필수적이다. 이와 동시에, AI 기술을 이용한 전산 이론 및 기술 개발도 활발히 진행되고 있다.

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  • 2025

  • Attribute-guided Relevance Propagation for interpreting image classifier based on Deep Neural Networks

    Seung Ho Han, Ho-Jin Choi
    COMPUTER VISION AND IMAGE UNDERSTANDING
    2025

  • SYNAuG: Exploiting synthetic data for data imbalance problems

    Moon, Ye-Bin, Nam, Hyeon-Woo, Choi, Wonseok, Kim, Nayeong, Kwak, Suha, Oh, Tae-Hyun
    PATTERN RECOGNITION LETTERS
    2025

  • 2024

  • A Gloss-Free Sign Language Production with Discrete Representation

    Euijun Hwang, HUIJE LEE, Jong C. Park
    2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
    2024

    []

  • A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization

    Kang, Sungmin, An, Gabin, Shin Yoo
    ACM International Conference on the Foundations of Software Engineering
    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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  • 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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  • Ask LLMs Directly, “What shapes your bias?”: Measuring Social Bias in Large Language Models

    Jisu Shin, Hoyun Song, HUIJE LEE, Soyeong Jeong, Jong C. Park
    The 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
    2024

    []

  • DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation

    Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han, Jong C. Park
    3rd Workshop on Knowledge Augmented Methods for NLP
    2024

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  • Enhancing Sign Language Recognition with Pose-Based Data Augmentation: Focusing on Hand Keypoints

    한승윤, Kim, Aujin, 노경근, 박종철
    2024 한국컴퓨터종합학술대회 (KCC)
    2024

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  • Intent-Driven Mobile GUI Testing with Autonomous Large Language Model Agents

    Yoon, Juyeon, Feldt, Robert, Shin Yoo
    2024 IEEE Conference on Software Testing, Verification and Validation (ICST)
    2024

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  • Inverse Constraint Learning and Generalization by Transferable Reward Decomposition

    Jang, Jaehwi, Song, Minjae, Park Daehyung
    IEEE ROBOTICS AND AUTOMATION LETTERS
    2024

  • Iterative Refactoring of？Real-World Open-Source Programs with？Large Language Models

    Choi, Jinsu, An, Gabin, Shin Yoo
    International Symposium on Search Based Software Engineering
    2024

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  • Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching

    Shin Yoo
    International Conference on Software Maintenance and Evolution
    2024

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  • Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition

    Kyunggeun Roh, HUIJE LEE, Euijun Hwang, Sukmin Cho, Jong C. Park
    Workshop on the Representation and Processing of Sign Languages
    2024

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  • Retrieval-Augmented Generation through Zero-shot Sentence-Level Passage Refinement using LLMs

    황태호, 정소영, 조석민, 박종철
    2024 한국컴퓨터종합학술대회 (KCC)
    2024

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  • The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications

    Lee, Jae Yong, Kang, Sungmin, Yoon, Juyeon, Shin Yoo
    2024 IEEE Conference on Software Testing, Verification and Validation (ICST)
    2024

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  • Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling

    HUIJE LEE, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, Jong C. Park
    The 2024 Conference on Empirical Methods in Natural Language Processing
    2024

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  • Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations

    Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Taeho Hwang, Jong C. Park
    The 2024 Conference on Empirical Methods in Natural Language Processing
    2024

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  • Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

    Kim, Hyunsu, Kim, Yegon, Hongseok Yang, Lee, J
    The 41st International Conference on Machine Learning (ICML 2024)
    2024

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  • 2023

  • A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires

    Hoyun Song, Jisu Shin, HUIJE LEE, Jong C. Park
    61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
    2023

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