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Volker Tresp

  1. A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
    2023/07/24 by Jindong Gu, Zhen Han, Gu, Jindong +16 · 24 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  2. WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
    2024/08/28 by Yao Zhang, Zhang, Yao, Zijian Ma +9 · 33 citations
    Computer Science · #Mobile Agent-Based Network Management #Service-Oriented Architecture and Web Services #Cloud Computing and Resource Management
  3. PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
    2020/07/28 by Mehdi Ali, Max Berrendorf, Ali, Mehdi +11 · 12 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Topic Modeling #Bioinformatics and Genomic Networks
  4. FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
    2023/08/21 by Haokun Chen, Chen, Haokun, Yao Zhang +7 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Privacy-Preserving Technologies in Data
  5. Scene Graph Reasoning for Visual Question Answering
    2020/07/02 by Marcel Hildebrandt, Hildebrandt, Marcel, Hang Li +7 · 8 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  6. Tensor-Train Recurrent Neural Networks for Video Classification
    2017/07/06 by Yinchong Yang, Yang, Yinchong, Denis Krompaß +3 · 9 citations
    Computer Science · Mathematics · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Tensor decomposition and applications
  7. Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
    2023/11/29 by Shuo Chen, Chen, Shuo, Zhen Han +13 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  8. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
    2024/12/16 by Jinhe Bi, Yujun Wang, Bi, Jinhe +11 · 25 citations
    Computer Science · #Advanced Vision and Imaging #Hand Gesture Recognition Systems #Gaze Tracking and Assistive Technology
  9. Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining
    2023/11/07 by Uğur Şahin, Hang Li, Sahin, Ugur +7 · 11 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  10. Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning
    2023/07/12 by Zhang, Gengyuan, Yurui Zhang, Kerui Zhang +4 · 8 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  11. Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image
    2024/02/22 by Zefeng Wang, Wang, Zefeng, Zhen Han +15 · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  12. Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
    2023/06/03 by Shuo Chen, Jindong Gu, Chen, Shuo +9 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  13. Temporal Knowledge Graph Forecasting with Neural ODE
    2021/01/13 by Zhen Han, Han, Zhen, Zifeng Ding +7 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Epigenetics and DNA Methylation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  14. Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
    2023/09/19 by Yize Sun, Sun, Yize, Yunpu Ma +3 · 6 citations
    Computer Science · #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Neural Networks and Reservoir Computing
  15. Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
    2024/04/04 by Shuo Chen, Zhen Han, Chen, Shuo +13 · 9 citations
    Medicine · #Artificial Intelligence in Healthcare and Education
  16. Classification by Attention: Scene Graph Classification with Prior\n Knowledge
    2020/11/19 by Sahand Sharifzadeh, Sina Moayed Baharlou, Sharifzadeh, Sahand +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  17. CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
    2025/05/19 by Jing Bi, Danqi Yan, Bi, Jinhe +19 · 18 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Text Readability and Simplification
  18. Type-Constrained Representation Learning in Knowledge Graphs
    2015/08/11 by Denis Krompaß, Krompaß, Denis, Stephan Baier +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  19. VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
    2024/09/30 by Ruotong Liao, Max Erler, Liao, Ruotong +10 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  20. FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
    2024/10/07 by Haokun Chen, Chen, Haokun, Hang Li +15 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  21. TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
    2021/12/15 by Yushan Liu, Liu, Yushan, Yunpu Ma +7 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  22. A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
    2022/03/14 by Charles Tapley Hoyt, Hoyt, Charles Tapley, Max Berrendorf +7 · 2 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  23. ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs
    2022/08/12 by Zifeng Ding, Zongyue Li, Ding, Zifeng +17 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  24. Infinite Hidden Relational Models
    2012/06/27 by Zhao Xu, Xu, Zhao, Volker Tresp +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. LookupViT: Compressing visual information to a limited number of tokens
    2024/07/17 by Rajat Koner, Koner, Rajat, Gagan Jain +7 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Video Analysis and Summarization
  26. Multi-event Video-Text Retrieval
    2023/08/22 by Zhang, Gengyuan, Jisen Ren, Jindong Gu +4 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  27. Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
    2023/07/14 by Zifeng Ding, Jingcheng Wu, Ding, Zifeng +7 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  28. zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
    2023/11/15 by Zifeng Ding, Heling Cai, Ding, Zifeng +11 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  29. On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link\n Prediction Methods
    2020/02/17 by Max Berrendorf, Evgeniy Faerman, Berrendorf, Max +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  30. Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs
    2025/03/28 by Yuan He, He, Yuan, Bailan He +20 · 1 voice · 3 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Topic Modeling #Wikis in Education and Collaboration #cs.CL
  31. GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation
    2023/05/26 by Tanveer Hannan, Rajat Koner, Hannan, Tanveer +13 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  32. FedPop: Federated Population-based Hyperparameter Tuning
    2023/08/16 by Haokun Chen, Chen, Haokun, Denis Krompaß +5 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Traffic Prediction and Management Techniques #and Cluster Computing (cs.DC)
  33. CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
    2022/11/19 by Yao Zhang, Haokun Chen, Zhang, Yao +12 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  34. Visual Question Decomposition on Multimodal Large Language Models
    2024/09/28 by Haowei Zhang, Zhang, Haowei, Jianzhe Liu +13 · 3 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  35. PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
    2024/11/12 by Yilun Liu, Liu, Yilun, Yunpu Ma +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Target Tracking and Data Fusion in Sensor Networks
  36. Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
    2025/08/04 by Yilun Liu, Yingjie Ma, Liu, Yilun +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Topic Modeling
  37. MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models
    2026/07/20 by Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov +3
    #cs.LG #cs.AI #cs.CL #cs.MA