% Key papers for LLM-as-judge and feedback data (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2022_training_65011,
  title = {{Training language models to follow instructions with human feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52886},
}

@inproceedings{neurips2023_judging_69806,
  title = {{Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73434},
}

@inproceedings{icml2024_chatbot_43384,
  title = {{Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35068},
}

@inproceedings{neurips2024_llm_70433,
  title = {{LLM Evaluators Recognize and Favor Their Own Generations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96672},
}

@inproceedings{neurips2023_alpacafarm_66794,
  title = {{AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72842},
}

@inproceedings{neurips2024_mobility_70169,
  title = {{Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96914},
}

@inproceedings{icml2024_ultrafeedback_43726,
  title = {{ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34726},
}

@inproceedings{neurips2024_questioning_71963,
  title = {{Questioning the Survey Responses of Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95348},
}

@inproceedings{aaai2018_exploring_99805,
  title = {{Exploring Implicit Feedback for Open Domain Conversation Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11253},
}

@inproceedings{aaai2020_balancing_103204,
  title = {{Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6514},
}

@inproceedings{aaai2020_human_101236,
  title = {{Human-Machine Collaboration for Fast Land Cover Mapping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5633},
}

@inproceedings{aaai2025_evaluating_9021,
  title = {{Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34157},
}

@inproceedings{neurips2024_the_71123,
  title = {{The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97804},
}

@inproceedings{iclr2024_gpt_34258,
  title = {{GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18817},
}

@inproceedings{neurips2024_aligning_71147,
  title = {{Aligning LLM Agents by Learning Latent Preference from User Edits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96078},
}

@inproceedings{aaai2020_towards_100292,
  title = {{Towards Hands-Free Visual Dialog Interactive Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5465},
}

@inproceedings{iclr2025_eliciting_81814,
  title = {{Eliciting Human Preferences with Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29967},
}

@inproceedings{iclr2023_task_32575,
  title = {{Task Ambiguity in Humans and Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11306},
}

@inproceedings{neurips2024_rule_72095,
  title = {{Rule Based Rewards for Language Model Safety}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95232},
}

@inproceedings{iclr2024_human_33719,
  title = {{Human Feedback is not Gold Standard}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19356},
}

@inproceedings{icml2025_from_46950,
  title = {{From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45630},
}

@inproceedings{neurips2024_gradient_74349,
  title = {{Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93211},
}

@inproceedings{iclr2025_wildbench_81843,
  title = {{WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29940},
}

@inproceedings{iclr2025_on_82440,
  title = {{On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29353},
}

@inproceedings{aaai2025_maximizing_9920,
  title = {{Maximizing Signal in Human-Model Preference Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34950},
}

@inproceedings{icml2024_musicrl_43891,
  title = {{MusicRL: Aligning Music Generation to Human Preferences}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34561},
}

@inproceedings{iclr2025_judgebench_81463,
  title = {{JudgeBench: A Benchmark for Evaluating LLM-Based Judges}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30311},
}

@inproceedings{iclr2025_do_82102,
  title = {{Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29686},
}