Hao Chen

Venues

Frequent coauthors

Papers

1. Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
   AAAI 2026 ·

   Ming Liu

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2. Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning
   ACL 2026 ·

   Zhikun Xu

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3. Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
   ACL 2026 ·

   Miaomiao Li

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4. CAARMA: Class Augmentation with Adversarial Mixup Regularization
   EMNLP 2025 ·

   Massa Baali

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5. From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
   NeurIPS 2025 ·

   Hao Sun

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6. ImageFolder: Autoregressive Image Generation with Folded Tokens
   ICLR 2025 ·

   Xiang Li

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7. Masked Autoencoders Are Effective Tokenizers for Diffusion Models
   ICML 2025 · Hao Chen
8. On Fairness of Unified Multimodal Large Language Model for Image Generation
   NeurIPS 2025 ·

   Ming Liu

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9. Rethinking the Bias of Foundation Model under Long-tailed Distribution
   ICML 2025 ·

   Jiahao Chen

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10. SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
    CVPR 2025 · Hao Chen
11. Unleashing Hour-Scale Video Training for Long Video-Language Understanding
    NeurIPS 2025 ·

    Jingyang Lin

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12. A General Framework for Learning from Weak Supervision
    ICML 2024 · Hao Chen
13. AgentReview: Exploring Peer Review Dynamics with LLM Agents
    EMNLP 2024 ·

    Yiqiao Jin

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14. CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
    ICML 2024 ·

    Qinlin Zhao

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15. Completing Visual Objects via Bridging Generation and Segmentation
    ICML 2024 ·

    Xiang Li

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16. Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
    CVPR 2024 · Hao Chen
17. Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
    NeurIPS 2024 · Hao Chen
18. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
    AAAI 2024 ·

    Hao Qian

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19. Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
    NeurIPS 2024 ·

    Yizhou Zhao

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20. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
    ICLR 2024 ·

    Yidong Wang

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21. R2-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations
    ECCV 2024 ·

    Xiang Li

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22. Slight Corruption in Pre-training Data Makes Better Diffusion Models
    NeurIPS 2024 · Hao Chen
23. Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
    ICLR 2024 · Hao Chen