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Large Language Model Evaluation245 papersUnified Evaluation222 papersJailbreak Evaluations184 papersAgentic Evaluations149 papersArtificial Intelligence Evaluation134 papersAdversarial Evaluation114 papersEvaluation Benchmarks96 papersSafety Evaluation84 papersEvaluation Metrics76 papersOff-Policy Evaluation70 papersMultimodal Evaluation67 papersUnified Evaluation66 papers

24,751–24,780 of 24,951

Papers

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  1. A Neural Operator-Based Approach to Symbolic Discovery of PDEs

    Jan 14, 2025Sergei Garmaev, Olga FinkNeural OperatorsPartial Differential Equations

  2. Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization

    Jan 10, 2025Keita KinjoCounterfactual ExplanationExplainability

  3. FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks

    Jan 9, 2025Yongkang Du, Jen-tse Huang, Jieyu Zhao +1Large Language Model BiasHigh-Stakes Decision

  4. Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking

    Dec 30, 2024Sangyun Chung, Youngjoon Yu, Se Yeon Kim +2Large Vision Language ModelsRgb-Depth Cameras

  5. Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

    Dec 29, 2024Linglingzhi Zhu, Yunqin Zhu, Yao XieRobust OptimizationDistributional Learning

  6. Learning from Many Voices: Literary MT Using Multi-Reference Human and Synthetic Data

    Dec 24, 2024Si Wu, John Wieting, David A. SmithMachine TranslationMultimodal Dataset

  7. Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

    Dec 21, 2024Yanxu Mao, Peipei Liu, Tiehan Cui +3Large Language Model JailbreaksAdversarial Jailbreaks

  8. LDC: Learning to Generate Research Idea with Dynamic Control

    Dec 19, 2024Ruochen Li, Liqiang Jing, Chi Han +2IdeasAutoresearch

  9. Exploiting Vision Encoder Vulnerabilities for Universal Adversarial Perturbations on Large Vision-Language Models

    Dec 11, 2024Hee-Seon Kim, Minbeom Kim, Seokil Ham +1Large Vision Language ModelsAdversarial Examples

  10. GERD: Geometric event response data generation

    Dec 4, 2024Jens Egholm Pedersen, Dimitris Korakovounis, Jörg ConradtFeed-Forward 3D Gaussian ReconstructionVision Sensors

  11. Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps

    Dec 1, 2024Jordan Jomsky, Zongyu Li, Kay C. Igwe +8Brain AgeMagnetic Resonance Imaging

  12. MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes

    Nov 29, 2024H. Çağrı Bilgi, Kubilay AtasuGnn-Based DetectorsMessage Passing Neural Networks

  13. Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

    Nov 29, 2024Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru +7Deepfake DetectionMultimodal Benchmarks

  14. A Tunable Despeckling Neural Network Stabilized via Diffusion Equation

    Nov 24, 2024Yi Ran, Zhichang Guo, Jia Li +3

  15. GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

    Nov 24, 2024Baixin Xu, Jiangbei Hu, Jiaze Li +1High-Fidelity Surface Reconstruction3D Reconstruction

  16. Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics

    Oct 31, 2024Jia-Jie ZhuWasserstein Gradient FlowsVariational Inference

  17. Accelerating Stateful Network Applications with Performance Prediction on SoC SmartNICs

    Oct 29, 2024Shaoke Xi, Jiaqi Gao, Fuliang Li +2WorkloadNvidia Nemotron

  18. Data Scaling Laws in Imitation Learning for Robotic Manipulation

    Oct 24, 2024Fanqi Lin, Yingdong Hu, Pingyue Sheng +3Imitation LearningRobot Policies

  19. Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment

    Oct 24, 2024Ranjan Sapkota, Manoj Karkee

  20. SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine

    Oct 22, 2024Xiaochen Wang, Liang Chen, Reza Haf Zhe Yang +5Multi-Hop ReasoningPrior Prompt Optimization Techniques

  21. When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

    Oct 20, 2024Shang Wang, Tianqing Zhu, Dayong Ye +1Large Language Model UnlearningUnlearning Aims

  22. Action abstractions for amortized sampling

    Oct 19, 2024Oussama Boussif, Léna Néhale Ezzine, Joseph D Viviano +6

  23. Streaming Deep Reinforcement Learning Finally Works

    Oct 18, 2024Mohamed Elsayed, Elena Sorina Lupu, Gautham Vasan +1

  24. Trust-free Personalized Decentralized Learning

    Oct 15, 2024Yawen Li, Yan Li, Junping Du +3Privacy-Preserving FrameworkFedavg

  25. Which Demographics do LLMs Default to During Annotation?

    Oct 11, 2024Johannes Schäfer, Aidan Combs, Christopher Bagdon +9Large Language Model BiasDemographics

  26. Influence-Oriented Personalized Federated Learning

    Oct 4, 2024Yue Tan, Guodong Long, Jing Jiang +1Federated LearningEfficient Influence Function

  27. SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning

    Oct 3, 2024Nikos Giakoumoglou, Tania StathakiContrastive LearningImagenet

  28. Adversarial Robustness of AI-Generated Image Detectors in the Real World

    Oct 2, 2024Sina Mavali, Jonas Ricker, David Pape +2Ai-Generated Image DetectionMachine-Generated Text Detection

  29. Collaborative Knowledge Distillation via a Learning-by-Education Node Community

    Sep 30, 2024Anestis Kaimakamidis, Ioannis Mademlis, Ioannis PitasKnowledge DistillationChain-Of-Thought Distillation

  30. OM4OV: Leveraging Ontology Matching for Ontology Versioning

    Sep 30, 2024Zhangcheng Qiang, Kerry Taylor, Weiqing WangOntologyOpen-Vocabulary