Gaowen Liu

Venues

Frequent coauthors

Papers

1. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
   ACL 2026 ·

   Yuwei Zhang

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2. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
   ACL 2026 ·

   Amir Saeidi

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3. QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
   WACV 2026 ·

   Wenfang Sun

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4. A First-order Generative Bilevel Optimization Framework for Diffusion Models
   ICML 2025 ·

   Quan Xiao

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5. CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
   ICCV 2025 ·

   Haoxuan Wang

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6. Compositional Caching for Training-free Open-vocabulary Attribute Detection
   CVPR 2025 ·

   Marco Garosi

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7. Effective Training Data Synthesis for Improving MLLM Chart Understanding
   ICCV 2025 ·

   Yuwei Yang

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8. Efficient Multimodal Dataset Distillation via Generative Models
   NeurIPS 2025 ·

   Zhenghao Zhao

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9. Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
   CVPR 2025 ·

   Changchang Sun

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10. How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
    EMNLP 2025 ·

    Venkatesh Mishra

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11. Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
    NAACL 2025 ·

    Venkatesh Mishra

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12. Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
    ICCV 2025 ·

    Yuhao Sun

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13. MGD3 : Mode-Guided Dataset Distillation using Diffusion Models
    ICML 2025 ·

    Jeffrey A. Chan-Santiago

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14. MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
    CVPR 2025 ·

    Hou-I Liu

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15. Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
    NeurIPS 2025 ·

    Junyi Wu

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16. Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge
    WACV 2025 ·

    Nicholas John Eliopoulos

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17. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
    ACL 2025 ·

    Haomin Zhuang

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18. SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
    EMNLP 2025 ·

    Kaiwen Zhou

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19. Targeted Forgetting of Image Subgroups in CLIP Models
    CVPR 2025 ·

    Zeliang Zhang

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20. Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
    ICLR 2025 ·

    Ziheng Chen

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21. UniMuMo: Unified Text, Music, and Motion Generation
    AAAI 2025 ·

    Han Yang

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22. Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
    NAACL 2024 ·

    Jiabao Ji

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23. Answer is All You Need: Instruction-following Text Embedding via Answering the Question
    ACL 2024 ·

    Letian Peng

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24. Efficient Multitask Dense Predictor via Binarization
    CVPR 2024 ·

    Yuzhang Shang

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25. Enhancing Post-Training Quantization Calibration Through Contrastive Learning
    CVPR 2024 ·

    Yuzhang Shang

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26. From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
    NeurIPS 2024 ·

    Zhuoshi Pan

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27. MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
    CVPR 2024 ·

    Matteo Farina

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28. Open-world Multi-label Text Classification with Extremely Weak Supervision
    EMNLP 2024 ·

    Xintong Li

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29. Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
    NeurIPS 2024 ·

    Jiabao Ji

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30. Riemannian Multinomial Logistics Regression for SPD Neural Networks
    CVPR 2024 ·

    Ziheng Chen

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31. SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
    ECCV 2024 ·

    Weitai Kang

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32. Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities
    ECCV 2024 ·

    Kaiwen Cai

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33. UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
    NeurIPS 2024 ·

    Yihua Zhang

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34. WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting
    AAAI 2024 ·

    Zhiliang Wu

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