% Key papers for Uncertainty quantification for LLMs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2023_prompting_32154,
  title = {{Prompting GPT-3 To Be Reliable}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11550},
}

@inproceedings{icml2019_cognitive_37224,
  title = {{Cognitive model priors for predicting human decisions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3762},
}

@inproceedings{neurips2024_membership_71984,
  title = {{Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95327},
}

@inproceedings{aaai2024_unveiling_7728,
  title = {{Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30254},
}

@inproceedings{neurips2024_on_71798,
  title = {{On the Worst Prompt Performance of Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95497},
}

@inproceedings{neurips2024_benchmarking_71651,
  title = {{Benchmarking LLMs via Uncertainty Quantification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97746},
}

@inproceedings{iclr2025_justice_80679,
  title = {{Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/31088},
}

@inproceedings{neurips2024_efficient_73555,
  title = {{Efficient multi-prompt evaluation of LLMs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93925},
}

@inproceedings{iclr2024_how_33636,
  title = {{How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19439},
}

@inproceedings{neurips2024_semantic_71684,
  title = {{Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95598},
}

@inproceedings{neurips2024_elo_72018,
  title = {{Elo Uncovered: Robustness and Best Practices in Language Model Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95297},
}

@inproceedings{neurips2024_decision_74110,
  title = {{Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93425},
}

@inproceedings{aaai2024_who_7825,
  title = {{Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29763},
}

@inproceedings{aaai2024_improving_6294,
  title = {{Improving Factual Error Correction by Learning to Inject Factual Errors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29778},
}

@inproceedings{icml2024_decomposing_44839,
  title = {{Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33613},
}

@inproceedings{aaai2025_confidence_8497,
  title = {{Confidence Estimation for Error Detection in Text-to-SQL Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34699},
}

@inproceedings{aaai2025_evalassist_9015,
  title = {{EvalAssist: LLM-as-a-Judge Simplified}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35351},
}

@inproceedings{iclr2024_inside_34689,
  title = {{INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18385},
}

@inproceedings{neurips2024_when_71929,
  title = {{When is Multicalibration Post-Processing Necessary?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95377},
}

@inproceedings{neurips2024_accuracy_72093,
  title = {{Accuracy is Not All You Need}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95234},
}

@inproceedings{neurips2024_kernel_73495,
  title = {{Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93979},
}

@inproceedings{iclr2025_sample_81083,
  title = {{Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30685},
}