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Sungchul Kim

  1. Bias and Fairness in Large Language Models: A Survey
    2024/01/01 by Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow +6 · 127 citations
    Computer Science · #Topic Modeling #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques
  2. Personalization of Large Language Models: A Survey
    2024/10/29 by Zhehao Zhang, Ryan A. Rossi, Zhang, Zhehao +41 · 2 voices · 22 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  3. Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
    2024/02/03 by Isabel O. Gallegos, Gallegos, Isabel O., Ryan A. Rossi +15 · 17 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  4. GUI Agents: A Survey
    2024/12/18 by Deanna D. Nguyen, Jian Chen, Nguyen, Dang +54 · 27 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Human-Computer Interaction (cs.HC) #Robotic Path Planning Algorithms #Web Data Mining and Analysis
  5. Visual Prompting in Multimodal Large Language Models: A Survey
    2024/09/05 by Junda Wu, Zhehao Zhang, Wu, Junda +27 · 12 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling
  6. Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
    2024/10/17 by Yu Xia, Junda Wu, Xia, Yu +11 · 8 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Semantic Web and Ontologies #Topic Modeling
  7. Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
    2024/03/11 by Yu Xia, Fang Kong, Xia, Yu +11 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  8. GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
    2023/10/23 by Ting-Yao Hsu, Chieh-Yang Huang, Hsu, Ting-Yao +9 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  9. VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
    2024/10/21 by Zhehao Zhang, Zhang, Zhehao, Ryan A. Rossi +17 · 5 citations
    Computer Science · Medicine · Neuroscience · #Computation and Language (cs.CL) #Data Visualization and Analytics #FOS: Computer and information sciences #Retinal Imaging and Analysis #Tactile and Sensory Interactions
  10. Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
    2024/09/04 by Yeonjun In, In, Yeonjun, Sungchul Kim +11 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Expert finding and Q&A systems #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  11. Survey of User Interface Design and Interaction Techniques in Generative AI Applications
    2024/10/28 by Reuben Luera, Luera, Reuben, Ryan A. Rossi +23 · 1 voice · 4 citations
    Computer Science · Psychology · #Context-Aware Activity Recognition Systems #Human-Automation Interaction and Safety #Speech and dialogue systems #cs.AI #cs.CL #cs.HC #cs.LG
  12. Higher-order Graph Convolutional Networks
    2018/09/12 by John Boaz Lee, Lee, John Boaz, Ryan A. Rossi +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Social and Information Networks (cs.SI)
  13. Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
    2025/05/18 by Md Mehrab Tanjim, Tanjim, Md Mehrab, Yeonjun In +19 · 5 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  14. Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
    2025/02/20 by Yeonjun In, Wonjoong Kim, In, Yeonjun +13 · 5 citations
    Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
  15. Heterogeneous Network Motifs
    2019/01/28 by Ryan A. Rossi, Rossi, Ryan A., Nesreen K. Ahmed +11 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  16. From Selection to Generation: A Survey of LLM-based Active Learning
    2025/02/17 by Yu Xia, Xia, Yu, Subhojyoti Mukherjee +65 · 5 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Open Education and E-Learning #Wikis in Education and Collaboration
  17. Hallucination Diversity-Aware Active Learning for Text Summarization
    2024/04/02 by Yu Xia, Xu Liu, Xia, Yu +13 · 2 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Graph Learning with Localized Neighborhood Fairness
    2022/12/22 by April Chen, Ryan A. Rossi, Chen, April +15 · 1 citation
    Computer Science · Psychology · Social Sciences · #Advanced Graph Neural Networks #Cognitive Functions and Memory #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  19. Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
    2023/02/23 by Chieh-Yang Huang, Ting-Yao Hsu, Huang, Chieh-Yang +15 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #Topic Modeling
  20. Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
    2023/03/28 by Rashmi Ranjan Bhuyan, Bhuyan, Rashmi Ranjan, Adel Javanmard +11 · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Health disparities and outcomes #Machine Learning (cs.LG) #Spatial and Panel Data Analysis
  21. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    2025/02/17 by Junda Wu, Wu, Junda, Yuxin Xiong +21 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Educational Technology and Assessment #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Robotics and Automated Systems
  22. Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
    2024/02/22 by Younghun Lee, Sungchul Kim, Lee, Younghun +7 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  23. Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data
    2024/07/03 by Younghun Lee, Sungchul Kim, Lee, Younghun +7 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  24. Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023
    2025/01/31 by Ting-Yao Hsu, Yi-Li Hsu, Hsu, Ting-Yao E. +19 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  25. Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering
    2026/07/20 by Sheldon Yu, Tong Yu, Xunyi Jiang +6
    #cs.AI