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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

  • A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production

    Euijun Hwang, Sukmin Cho, HUIJE LEE, Yoon, Youngwoo, Jong C. Park
    2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025
    2025

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  • An Efficient Gloss-Free Sign Language Translation Using Spatial Configurations and Motion Dynamics with LLMs

    Euijun Hwang, Sukmin Cho, JUNMYEOUNG LEE, Jong C. Park
    2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
    2025

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  • 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

  • Capturing Semantic Flow of ML-based Systems

    Shin Yoo, Feldt, Robert, Kim, Somin, Kim, Naryeong
    FSE Companion '25: 33rd ACM International Conference on the Foundations of Software Engineering
    2025

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  • Database-Augmented Query Representation for Information Retrieval

    Soyeong Jeong, Baek, Jinheon, Sukmin Cho, Hwang Sung Ju, Jong C. Park
    The 2025 Conference on Empirical Methods in Natural Language Processing
    2025

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  • Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation

    Hoyun Song, HUIJE LEE, Jisu Shin, Sukmin Cho, Changgeon Ko, Jong C. Park
    The 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025
    2025

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  • EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation

    Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, SeungYoon Han, Jong C. Park
    The 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025
    2025

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  • Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models

    Cho, Seungho, Changgeon Ko, Euijun Hwang, JUNMYEOUNG LEE, HUIJE LEE, Jong C. Park
    The Workshop on Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics at CIKM 2025
    2025

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  • NeuroSource Mapping and Distortion (NSMD): Proposal of an EEG Signal Generation Method to Improve Brain-Computer Interface Performance

    이찬규, 최성희
    2025 한국컴퓨터종합학술대회
    2025

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  • PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory

    Junho Myung, Yeon Su Park, Sunwoo Kim, Shin Yoo, Alice Oh
    The 63rd Annual Meeting of the Association for Computational Linguistics
    2025

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  • Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo

    Kim, Hyunsu, Nam, Giung, Yun, Chulhee, Hongseok Yang, Lee, J
    Thirteenth International Conference on Learning Representations (ICLR 2025)
    2025

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  • SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems

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

  • Temporal Information Retrieval via Time-Specifier Model Merging

    SeungYoon Han, Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, HUIJE LEE, Jong C. Park
    The Workshop on Knowledgeable Foundation Models at ACL 2025
    2025

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  • 합성곱 신경망과 트랜스포머 융합 모델 기반 인공지능 생성 음악 탐지 기법

    우경아, 최성희
    2025 한국컴퓨터종합학술대회
    2025

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  • 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

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  • 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

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  • 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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