PPaperPicks

Philip Torr

University of Oxford, Department of Engineering Science, Oxford, UK

97 papers at tracked venues · 73 at CORE A* · active 2024–2026

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Venues

NeurIPS ×23ECCV ×14ICLR ×14ICML ×11CVPR ×10ACL ×7EMNLP ×7AAAI ×4ICCV ×4BMVC ×1MICCAI ×1WACV ×1

Frequent coauthors

Francisco Eiras
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Aleksandar Petrov
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Tim Franzmeyer
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Runtao Liu
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Kuofeng Gao
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Wenxuan Zhang
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Fengyuan Liu
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Shuang Wu
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Junlin Han
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Henghui Ding
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Cornelius Emde
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Kumail Alhamoud
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Papers

  1. An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint)
    AAAI 2026 ·
    Yangchen Pan
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  2. Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
    ACL 2026 ·
    Zeping Li
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  3. Can Editing LLMs Inject Harm?
    AAAI 2026 ·
    Canyu Chen
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  4. Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
    AAAI 2026 ·
    Haiyuan Wan
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  5. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
    ACL 2026 ·
    Zelin Tan
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  6. AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
    ICCV 2025 ·
    Runtao Liu
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  7. Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models
    ACL 2025 ·
    Kuofeng Gao
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  8. Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
    ICLR 2025 ·
    Wenxuan Zhang
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  9. CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents
    ACL 2025 ·
    Tianqi Xu
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  10. Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
    NeurIPS 2025 ·
    Junchi Yu
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  11. Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
    WACV 2025 ·
    Shuo Chen
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  12. Can an Individual Manipulate the Collective Decisions of Multi-Agents?
    EMNLP 2025 ·
    Fengyuan Liu
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  13. Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
    EMNLP 2025 ·
    Hazel Kim
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  14. Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
    NeurIPS 2025 ·
    Shuang Wu
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  15. Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
    ICLR 2025 ·
    Francisco Eiras
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  16. FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
    CVPR 2025 ·
    Haokun Chen
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  17. Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation
    ICML 2025 ·
    Junlin Han
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  18. Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
    ICML 2025 ·
    Tom A. Lamb
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  19. Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models
    NeurIPS 2025 ·
    Hao Cheng
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  20. LLM Jailbreak Detection for (Almost) Free!
    EMNLP 2025 ·
    Guorui Chen
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  21. Large Language Models Miss the Multi-agent Mark
    NeurIPS 2025 ·
    Emanuele La Malfa
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  22. Localizing Events in Videos with Multimodal Queries
    CVPR 2025 ·
    Gengyuan Zhang
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  23. MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents
    NeurIPS 2025 ·
    Lukas Aichberger
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  24. Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
    ACL 2025 ·
    Haoyang Su
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  25. MatchDiffusion: Training-Free Generation of Match-Cuts
    ICCV 2025 ·
    Alejandro Pardo
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  26. Measuring what Matters: Construct Validity in Large Language Model Benchmarks
    NeurIPS 2025 ·
    Andrew M. Bean
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  27. Minimalist Concept Erasure in Generative Models
    ICML 2025 ·
    Yang Zhang
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  28. Mixture of Experts Made Intrinsically Interpretable
    ICML 2025 ·
    Xingyi Yang
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  29. Multimodal Pragmatic Jailbreak on Text-to-image Models
    ACL 2025 ·
    Tong Liu
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  30. Olympus: A Universal Task Router for Computer Vision Tasks
    CVPR 2025 ·
    Yuanze Lin
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  31. On the Coexistence and Ensembling of Watermarks
    NeurIPS 2025 ·
    Aleksandar Petrov
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  32. Open-World Objectness Modeling Unifies Novel Object Detection
    CVPR 2025 ·
    Shan Zhang
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  33. PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild
    CVPR 2025 ·
    Henghui Ding
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  34. Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
    NeurIPS 2025 ·
    Wei Pang
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  35. PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
    ICML 2025 ·
    Tingchen Fu
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  36. Reimagining Safety Alignment with An Image
    EMNLP 2025 ·
    Yifan Xia
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  37. Shh, don't say that! Domain Certification in LLMs
    ICLR 2025 ·
    Cornelius Emde
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  38. Stable Virtual Camera: Generative View Synthesis with Diffusion Models
    ICCV 2025 ·
    Jensen Zhou
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  39. Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
    NeurIPS 2025 ·
    Constantin Venhoff
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  40. Towards Certification of Uncertainty Calibration under Adversarial Attacks
    ICLR 2025 ·
    Cornelius Emde
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  41. Towards Interpreting Visual Information Processing in Vision-Language Models
    ICLR 2025 ·
    Clement Neo
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  42. Towards Reliable Identification of Diffusion-based Image Manipulations
    NeurIPS 2025 ·
    Alex Costanzino
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  43. VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
    NeurIPS 2025 ·
    Li Kang
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  44. VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
    ICCV 2025 ·
    Runjia Li
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  45. Video Motion Transfer with Diffusion Transformers
    CVPR 2025 ·
    Alexander Pondaven
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  46. Vision-Language Models Do Not Understand Negation
    CVPR 2025 ·
    Kumail Alhamoud
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  47. An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
    ICLR 2024 ·
    Haochen Luo
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  48. As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP
    BMVC 2024 ·
    Anjun Hu
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  49. CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
    ECCV 2024 ·
    Qilang Ye
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  50. CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
    CVPR 2024 ·
    Shuyang Sun
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  51. Can Large Language Model Agents Simulate Human Trust Behavior?
    NeurIPS 2024 ·
    Chengxing Xie
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  52. Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
    ICLR 2024 ·
    Wenxuan Zhang
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  53. DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM
    ECCV 2024 ·
    Yixuan Wu
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  54. Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
    NeurIPS 2024 ·
    Shuang Wu
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  55. Efficient Error Certification for Physics-Informed Neural Networks
    ICML 2024 ·
    Francisco Eiras
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  56. Efficient Lifelong Model Evaluation in an Era of Rapid Progress
    NeurIPS 2024 ·
    Ameya Prabhu
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  57. Extracting Training Data From Document-Based VQA Models
    ICML 2024 ·
    Francesco Pinto
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  58. FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
    MICCAI 2024 ·
    Kumail Alhamoud
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  59. GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing
    ECCV 2024 ·
    Jing Wu
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  60. HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
    ACL 2024 ·
    Tim Franzmeyer
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  61. Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
    NeurIPS 2024 ·
    Arshia Hemmat
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  62. Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
    ICLR 2024 ·
    Tim Franzmeyer
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  63. Improving Adversarial Transferability via Model Alignment
    ECCV 2024 ·
    Avery Ma
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  64. Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
    ICLR 2024 ·
    Kuofeng Gao
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  65. Influencer Backdoor Attack on Semantic Segmentation
    ICLR 2024 ·
    Haoheng Lan
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  66. Interpreting Learned Feedback Patterns in Large Language Models
    NeurIPS 2024 ·
    Luke Marks
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  67. Label Delay in Online Continual Learning
    NeurIPS 2024 ·
    Botos Csaba
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  68. Latent Guard: A Safety Framework for Text-to-Image Generation
    ECCV 2024 ·
    Runtao Liu
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  69. Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
    EMNLP 2024 ·
    Hasan Hammoud
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  70. NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
    AAAI 2024 ·
    Linsheng Chen
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  71. No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
    NeurIPS 2024 ·
    Vishaal Udandarao
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  72. No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
    EMNLP 2024 ·
    Youssef Mohamed
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  73. Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
    ICML 2024 ·
    Jianhao Yuan
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  74. On Pretraining Data Diversity for Self-Supervised Learning
    ECCV 2024 ·
    Hasan Abed Al Kader Hammoud
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  75. PVUW 2024 Challenge on Complex Video Understanding: Methods and Results
    ECCV 2024 ·
    Henghui Ding
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  76. Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation
    ECCV 2024 ·
    Pau de Jorge
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  77. Porf: Pose residual field for accurate Neural surface Reconstruction
    ICLR 2024 ·
    Jia-Wang Bian
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  78. Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
    ICML 2024 ·
    Francisco Eiras
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  79. Prompting a Pretrained Transformer Can Be a Universal Approximator
    ICML 2024 ·
    Aleksandar Petrov
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  80. RanDumb: Random Representations Outperform Online Continually Learned Representations
    NeurIPS 2024 ·
    Ameya Prabhu
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  81. Real-Fake: Effective Training Data Synthesis Through Distribution Matching
    ICLR 2024 ·
    Jianhao Yuan
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  82. RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
    CVPR 2024 ·
    Yufan Chen
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  83. Scene-Conditional 3D Object Stylization and Composition
    ECCV 2024 ·
    Jinghao Zhou
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  84. Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
    NeurIPS 2024 ·
    Sumeet Ramesh Motwani
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  85. Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
    ECCV 2024 ·
    Francisco Eiras
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  86. Select to Perfect: Imitating desired behavior from large multi-agent data
    ICLR 2024 ·
    Tim Franzmeyer
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  87. Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
    CVPR 2024 ·
    Hang Li
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  88. Set-based Neural Network Encoding Without Weight Tying
    NeurIPS 2024 ·
    Bruno Andreis
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  89. Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
    ICML 2024 ·
    Yibo Yang
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  90. Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
    EMNLP 2024 ·
    Michael Lan
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  91. Universal In-Context Approximation By Prompting Fully Recurrent Models
    NeurIPS 2024 ·
    Aleksandar Petrov
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  92. VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models
    ECCV 2024 ·
    Junlin Han
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  93. What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
    NeurIPS 2024 ·
    Samyak Jain
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  94. When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
    ICLR 2024 ·
    Aleksandar Petrov
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  95. Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
    ECCV 2024 ·
    Fengyuan Liu
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  96. WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
    ECCV 2024 ·
    Zijian He
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  97. uCAP: An Unsupervised Prompting Method for Vision-Language Models
    ECCV 2024 ·
    A. Tuan Nguyen
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