% Key papers for Test-time adaptation of VLMs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_vl_20163,
  title = {{VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_task_22310,
  title = {{Task Residual for Tuning Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22699},
}

@inproceedings{cvpr2024_mma_24068,
  title = {{MMA: Multi-Modal Adapter for Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30210},
}

@inproceedings{cvpr2025_biomedcoop_25590,
  title = {{BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34133},
}

@inproceedings{iclr2023_medical_33310,
  title = {{MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11569},
}

@inproceedings{cvpr2025_mmrl_26872,
  title = {{MMRL: Multi-Modal Representation Learning for Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34413},
}

@inproceedings{iclr2024_mmicl_33646,
  title = {{MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19429},
}

@inproceedings{neurips2024_ez_72130,
  title = {{EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95203},
}

@inproceedings{cvpr2025_o_27090,
  title = {{O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32701},
}

@inproceedings{cvpr2025_rethinking_27443,
  title = {{Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35059},
}

@inproceedings{neurips2024_frustratingly_73162,
  title = {{Frustratingly Easy Test-Time Adaptation of Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94270},
}

@inproceedings{cvpr2024_active_22712,
  title = {{Active Prompt Learning in Vision Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31523},
}

@inproceedings{cvpr2025_bayesian_25569,
  title = {{Bayesian Test-Time Adaptation for Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34196},
}

@inproceedings{neurips2024_dual_73550,
  title = {{Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93929},
}

@inproceedings{cvpr2024_multiflow_24088,
  title = {{MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30898},
}

@inproceedings{neurips2023_benchmarking_66789,
  title = {{Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73702},
}

@inproceedings{neurips2023_bootstrapping_67044,
  title = {{Bootstrapping Vision-Language Learning with Decoupled Language Pre-training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72654},
}

@inproceedings{cvpr2025_adaptive_25444,
  title = {{Adaptive Parameter Selection for Tuning Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34663},
}

@inproceedings{cvpr2025_proapo_27299,
  title = {{ProAPO: Progressively Automatic Prompt Optimization for Visual Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34163},
}

@inproceedings{neurips2024_bendvlm_74318,
  title = {{BendVLM: Test-Time Debiasing of Vision-Language Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93242},
}

@inproceedings{aaai2024_p_7853,
  title = {{p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28415},
}

@inproceedings{cvpr2025_parc_27174,
  title = {{PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34568},
}

@inproceedings{icml2024_beyond_44170,
  title = {{Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34282},
}

@inproceedings{neurips2024_vision_73399,
  title = {{Vision-Language Models are Strong Noisy Label Detectors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94056},
}

@inproceedings{cvpr2025_cropper_25792,
  title = {{Cropper: Vision-Language Model for Image Cropping through In-Context Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34238},
}