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

@inproceedings{neurips2022_large_65537,
  title = {{Large Language Models are Zero-Shot Reasoners}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54287},
}

@inproceedings{neurips2023_toolformer_68540,
  title = {{Toolformer: Language Models Can Teach Themselves to Use Tools}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71288},
}

@inproceedings{neurips2023_visionllm_68383,
  title = {{VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71428},
}

@inproceedings{neurips2023_what_66625,
  title = {{What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73716},
}

@inproceedings{neurips2023_can_68820,
  title = {{Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73529},
}

@inproceedings{aaai2024_enhancing_5850,
  title = {{Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28678},
}

@inproceedings{iclr2023_ask_32852,
  title = {{Ask Me Anything: A simple strategy for prompting language models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10791},
}

@inproceedings{neurips2023_3d_68528,
  title = {{3D-LLM: Injecting the 3D World into Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71298},
}

@inproceedings{neurips2024_llm_74519,
  title = {{LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93061},
}

@inproceedings{iclr2024_quantifying_34425,
  title = {{Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18650},
}

@inproceedings{cvpr2024_llms_23895,
  title = {{LLMs are Good Action Recognizers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30158},
}

@inproceedings{iclr2024_beyond_35109,
  title = {{Beyond Memorization: Violating Privacy via Inference with Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17964},
}

@inproceedings{aaai2024_task_7498,
  title = {{Task Contamination: Language Models May Not Be Few-Shot Anymore}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29808},
}

@inproceedings{iclr2024_large_34119,
  title = {{Large Language Models Cannot Self-Correct Reasoning Yet}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18956},
}

@inproceedings{iclr2024_efficient_34281,
  title = {{Efficient Streaming Language Models with Attention Sinks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18794},
}

@inproceedings{aaai2025_llmemb_9681,
  title = {{LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33327},
}

@inproceedings{iclr2024_the_34042,
  title = {{The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19033},
}

@inproceedings{cvpr2025_cad_25630,
  title = {{CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33676},
}

@inproceedings{iclr2024_when_33643,
  title = {{When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19432},
}

@inproceedings{aaai2024_is_6358,
  title = {{Is a Large Language Model a Good Annotator for Event Extraction?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29730},
}

@inproceedings{aaai2024_rewritelm_7159,
  title = {{RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29863},
}

@inproceedings{iclr2024_time_33525,
  title = {{Time Travel in LLMs: Tracing Data Contamination in Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19550},
}

@inproceedings{icml2024_copyright_44143,
  title = {{Copyright Traps for Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34309},
}

@inproceedings{aaai2024_can_5372,
  title = {{Can Large Language Models Understand Real-World Complex Instructions?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29777},
}

@inproceedings{neurips2024_the_73793,
  title = {{The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97513},
}

@inproceedings{aaai2024_efficient_5816,
  title = {{Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30178},
}

@inproceedings{iclr2024_does_34019,
  title = {{Does Writing with Language Models Reduce Content Diversity?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19056},
}