% Key papers for Robust and calibrated DPO (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2025_popen_27196,
  title = {{POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33340},
}

@inproceedings{neurips2024_cal_70496,
  title = {{Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96611},
}

@inproceedings{aaai2023_cop_3267,
  title = {{CoP: Factual Inconsistency Detection by Controlling the Preference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26589},
}

@inproceedings{neurips2024_unpacking_71548,
  title = {{Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95717},
}

@inproceedings{neurips2024_noise_71644,
  title = {{Noise Contrastive Alignment of Language Models with Explicit Rewards}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95633},
}

@inproceedings{neurips2025_less_77159,
  title = {{Less is More: Improving LLM Alignment via Preference Data Selection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=R2ZJSjLDJC},
}

@inproceedings{neurips2024_speechalign_72230,
  title = {{SpeechAlign: Aligning Speech Generation to Human Preferences}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95112},
}

@inproceedings{neurips2024_robust_73001,
  title = {{Robust Reinforcement Learning from Corrupted Human Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94419},
}

@inproceedings{neurips2024_panacea_73292,
  title = {{Panacea: Pareto Alignment via Preference Adaptation for LLMs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94149},
}

@inproceedings{neurips2025_simplicity_76465,
  title = {{Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JbvSQm5h1l},
}

@inproceedings{icml2024_grath_44881,
  title = {{GRATH: Gradual Self-Truthifying for Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33571},
}

@inproceedings{icml2026_lilo_55485,
  title = {{LILO: Bayesian Optimization with Natural Language Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=zVrbE9ZtEU},
}

@inproceedings{aaai2025_self_10718,
  title = {{Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34724},
}

@inproceedings{icml2024_provably_45793,
  title = {{Provably Robust DPO: Aligning Language Models with Noisy Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32659},
}

@inproceedings{icml2025_test_46416,
  title = {{Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46149},
}

@inproceedings{icml2025_principled_48707,
  title = {{Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43915},
}

@inproceedings{neurips2023_preference_66886,
  title = {{Preference-grounded Token-level Guidance for Language Model Fine-tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72756},
}

@inproceedings{neurips2024_improving_70491,
  title = {{Improving Context-Aware Preference Modeling for Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96617},
}

@inproceedings{neurips2024_humor_74397,
  title = {{Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97450},
}

@inproceedings{neurips2025_implicit_80225,
  title = {{Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=xUx2B2NHvj},
}

@inproceedings{aaai2026_align_106344,
  title = {{Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38651},
}

@inproceedings{aaai2026_ranklist_107279,
  title = {{RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39631},
}