PPaperPicks

Jindong Gu

49 papers at tracked venues · 34 at CORE A* · active 2024–2026

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Venues

ACL ×7CVPR ×7AAAI ×6ECCV ×6EMNLP ×6NeurIPS ×5ICLR ×4ICCV ×2ICML ×2WACV ×2ACM MM ×1BMVC ×1

Frequent coauthors

Haokun Chen
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Hao Cheng
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Runtao Liu
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Kuofeng Gao
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Fengyuan Liu
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Andong Hua
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Tong Liu
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Hanqi Yan
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Canyu Chen
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Zheyuan Liu
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Wenqian Yu
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Yao Zhang
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Papers

  1. AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
    AAAI 2026 ·
    Haokun Chen
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  2. Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
    ACL 2026 ·
    Hanqi Yan
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  3. Can Editing LLMs Inject Harm?
    AAAI 2026 ·
    Canyu Chen
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  4. Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
    ACL 2026 ·
    Zheyuan Liu
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  5. You Only Need One Single Token to Refine Safety Alignment
    ACL 2026 ·
    Wenqian Yu
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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. CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
    WACV 2025 ·
    Yao Zhang
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  9. Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
    NeurIPS 2025 ·
    Junchi Yu
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  10. Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
    WACV 2025 ·
    Shuo Chen
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  11. Can an Individual Manipulate the Collective Decisions of Multi-Agents?
    EMNLP 2025 ·
    Fengyuan Liu
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  12. Fair Generation without Unfair Distortions: Debiasing Text-To-Image Generation with Entanglement-Free Attention
    ICCV 2025 ·
    Jeonghoon Park
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  13. FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
    CVPR 2025 ·
    Haokun Chen
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  14. FedPop: Federated Population-based Hyperparameter Tuning
    AAAI 2025 ·
    Haokun Chen
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  15. Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
    EMNLP 2025 ·
    Andong Hua
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  16. FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
    ACL 2025 ·
    Tong Liu
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  17. Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
    NeurIPS 2025 ·
    Weixing Wang
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  18. Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
    ICLR 2025 ·
    Xiaojun Jia
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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. Localizing Events in Videos with Multimodal Queries
    CVPR 2025 ·
    Gengyuan Zhang
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  22. Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
    ACL 2025 ·
    Fan Yin
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  23. Multimodal Pragmatic Jailbreak on Text-to-image Models
    ACL 2025 ·
    Tong Liu
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  24. Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
    CVPR 2025 ·
    Hao Cheng
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  25. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
    EMNLP 2025 ·
    Mihir Parmar
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  26. Primitive Vision: Improving Diagram Understanding in MLLMs
    ICML 2025 ·
    Shan Zhang
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  27. REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
    NeurIPS 2025 ·
    Divyansh Garg
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  28. ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos
    CVPR 2025 ·
    Tanveer Hannan
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  29. Reimagining Safety Alignment with An Image
    EMNLP 2025 ·
    Yifan Xia
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  30. Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
    ACM MM 2025 ·
    Hao Cheng
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  31. An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
    ICLR 2024 ·
    Haochen Luo
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  32. As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP
    BMVC 2024 ·
    Anjun Hu
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  33. Can Large Language Model Agents Simulate Human Trust Behavior?
    NeurIPS 2024 ·
    Chengxing Xie
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  34. Dataset Distillation by Automatic Training Trajectories
    ECCV 2024 ·
    Dai Liu
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  35. Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
    AAAI 2024 ·
    Xuanlong Yu
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  36. Does Few-Shot Learning Suffer from Backdoor Attacks?
    AAAI 2024 ·
    Xinwei Liu
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  37. FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
    AAAI 2024 ·
    Haokun Chen
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  38. Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
    CVPR 2024 ·
    Tianrui Lou
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  39. Improving Adversarial Transferability via Model Alignment
    ECCV 2024 ·
    Avery Ma
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  40. Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
    ICLR 2024 ·
    Kuofeng Gao
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  41. Influencer Backdoor Attack on Semantic Segmentation
    ICLR 2024 ·
    Haoheng Lan
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  42. Initialization Matters for Adversarial Transfer Learning
    CVPR 2024 ·
    Andong Hua
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  43. Latent Guard: A Safety Framework for Text-to-Image Generation
    ECCV 2024 ·
    Runtao Liu
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  44. MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
    ECCV 2024 ·
    Xin Liu
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  45. Provably Better Explanations with Optimized Aggregation of Feature Attributions
    ICML 2024 ·
    Thomas Decker
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  46. Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
    CVPR 2024 ·
    Hang Li
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  47. Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
    ECCV 2024 ·
    Hao Cheng
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  48. Visual Question Decomposition on Multimodal Large Language Models
    EMNLP 2024 ·
    Haowei Zhang
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  49. Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
    ECCV 2024 ·
    Fengyuan Liu
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