% Key papers for Fine-tuning generalization and delta compression (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2024_zhongjing_7846,
  title = {{Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29907},
}

@inproceedings{iclr2024_wizardlm_33911,
  title = {{WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19164},
}

@inproceedings{aaai2025_swift_10658,
  title = {{SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35383},
}

@inproceedings{neurips2023_the_66849,
  title = {{The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72793},
}

@inproceedings{cvpr2025_cxpmrg_25670,
  title = {{CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32450},
}

@inproceedings{iclr2024_understanding_34371,
  title = {{Understanding the Effects of RLHF on LLM Generalisation and Diversity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18704},
}

@inproceedings{icml2024_less_44320,
  title = {{LESS: Selecting Influential Data for Targeted Instruction Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34132},
}

@inproceedings{neurips2024_mercury_74387,
  title = {{Mercury: A Code Efficiency Benchmark for Code Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97452},
}

@inproceedings{iclr2024_the_35600,
  title = {{The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17473},
}

@inproceedings{iclr2024_fine_34597,
  title = {{Fine-Tuning Language Models for Factuality}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18477},
}

@inproceedings{iclr2024_two_35287,
  title = {{Two-stage LLM Fine-tuning with Less Specialization and More Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17786},
}

@inproceedings{neurips2024_safe_71434,
  title = {{Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95821},
}

@inproceedings{iclr2025_neurolm_81628,
  title = {{NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30149},
}

@inproceedings{iclr2025_does_82618,
  title = {{Does Refusal Training in LLMs Generalize to the Past Tense?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29179},
}

@inproceedings{aaai2024_biases_5295,
  title = {{Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30532},
}

@inproceedings{neurips2024_parameter_73637,
  title = {{Parameter Competition Balancing for Model Merging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93855},
}

@inproceedings{iclr2024_teaching_35630,
  title = {{Teaching Language Models to Hallucinate Less with Synthetic Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17443},
}

@inproceedings{icml2024_from_44882,
  title = {{From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33570},
}

@inproceedings{neurips2024_medsafetybench_72988,
  title = {{MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97606},
}

@inproceedings{neurips2024_harmonic_73371,
  title = {{HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97571},
}

@inproceedings{aaai2025_capability_8387,
  title = {{Capability Instruction Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34790},
}