% Key papers for Bias-aware multi-image robustness (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2025_debiasing_25870, title = {{Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35238}, } @inproceedings{cvpr2025_towards_27931, title = {{Towards Understanding How Knowledge Evolves in Large Vision-Language Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34921}, } @inproceedings{cvpr2025_stealthy_27750, title = {{Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34656}, } @inproceedings{cvpr2025_identifying_26579, title = {{Identifying and Mitigating Position Bias of Multi-image Vision-Language Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34691}, } @inproceedings{iclr2025_towards_82765, title = {{Towards Interpreting Visual Information Processing in Vision-Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29034}, } @inproceedings{aaai2026_enhancing_106772, title = {{Enhancing Medical Large Vision-Language Models via Alignment Distillation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39079}, } @inproceedings{aaai2025_isr_9497, title = {{ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32166}, } @inproceedings{aaai2025_rovrm_10569, title = {{RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34721}, } @inproceedings{icml2025_mmedpo_48006, title = {{MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44599}, } @inproceedings{neurips2024_unleashing_70200, title = {{Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96885}, } @inproceedings{icml2026_language_49265, title = {{Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=0tdnyH7uXp}, } @inproceedings{icml2026_self_49746, title = {{Self-Prophetic Decoding to Unlock Visual Search in LVLMs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=5MdWQefUzC}, } @inproceedings{icml2026_mvi_51288, title = {{MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=KcVFMalXYk}, } @inproceedings{icml2026_mitigating_51356, title = {{Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=LInDSHWGMK}, } @inproceedings{icml2026_interpreting_55217, title = {{Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=wnKgWnx8mH}, } @inproceedings{icml2026_logit_55301, title = {{Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=xTkYT79CRB}, } @inproceedings{icml2026_focusing_55439, title = {{Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information Gain}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=z1bSFIEexL}, } @inproceedings{neurips2025_enhancing_76611, title = {{Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=LAflniLUwx}, } @inproceedings{neurips2025_zooming_78640, title = {{Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=gjvbsLyCC3}, } @inproceedings{iclr2025_chip_80964, title = {{CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30804}, }