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

@inproceedings{neurips2020_when_61102,
  title = {{When Counterpoint Meets Chinese Folk Melodies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18771},
}

@inproceedings{aaai2020_avgout_103068,
  title = {{AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6378},
}

@inproceedings{neurips2025_cppo_77309,
  title = {{CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SVHerutWxp},
}

@inproceedings{neurips2025_r1_78972,
  title = {{R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=kMPII4XbKC},
}

@inproceedings{icml2026_omnisapiens_51493,
  title = {{OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=MrupCemBMy},
}

@inproceedings{icml2025_theoretical_48873,
  title = {{Theoretical guarantees on the best-of-n alignment policy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43750},
}

@inproceedings{neurips2025_inference_78070,
  title = {{Inference-time Alignment in Continuous Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=aokiuaM7Lt},
}

@inproceedings{neurips2025_lares_78898,
  title = {{LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jRjvcqtdtA},
}

@inproceedings{aaai2026_infigui_108148,
  title = {{InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40500},
}

@inproceedings{icml2025_is_47267,
  title = {{Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45322},
}

@inproceedings{icml2025_infalign_48187,
  title = {{InfAlign: Inference-aware language model alignment}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44424},
}

@inproceedings{icml2026_learning_49289,
  title = {{Learning to Route Languages for Multilingual Policy Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=13lMChKB5u},
}

@inproceedings{icml2026_efficient_49651,
  title = {{Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4P9cEcinYP},
}

@inproceedings{icml2026_segment_49680,
  title = {{Segment-Aligned Policy Optimization for Multi-Modal Reasoning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4fbvifBi9q},
}

@inproceedings{icml2026_quatro_50117,
  title = {{QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=98XhDbtB21},
}

@inproceedings{icml2026_xrpo_50225,
  title = {{XRPO: Pushing the Limits of GRPO with Targeted Exploration and Exploitation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=AE6U9HvTHc},
}

@inproceedings{icml2026_beyond_50735,
  title = {{Beyond Mode Collapse: Distribution Matching for Diverse Reasoning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FEmu30g4ts},
}

@inproceedings{icml2026_advantage_51454,
  title = {{Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=MKNimf9bIx},
}

@inproceedings{icml2026_smaller_51728,
  title = {{Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=PI2xku6EDA},
}

@inproceedings{icml2026_implicit_51833,
  title = {{Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QJC5WymFK1},
}

@inproceedings{icml2026_on_52055,
  title = {{On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=SJ13vBxetN},
}

@inproceedings{icml2026_bandpo_52265,
  title = {{BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=UBTVJLMzmE},
}