% Key papers for Gradient-free adaptation and merging (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2024_lisa_23892,
  title = {{LISA: Reasoning Segmentation via Large Language Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30109},
}

@inproceedings{neurips2024_refusal_73946,
  title = {{Refusal in Language Models Is Mediated by a Single Direction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93566},
}

@inproceedings{iclr2024_universalner_35369,
  title = {{UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17704},
}

@inproceedings{iclr2024_neftune_33463,
  title = {{NEFTune: Noisy Embeddings Improve Instruction Finetuning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19612},
}

@inproceedings{neurips2024_reft_73266,
  title = {{ReFT: Representation Finetuning for Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94174},
}

@inproceedings{icml2023_hypertuning_42171,
  title = {{HyperTuning: Toward Adapting Large Language Models without Back-propagation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24901},
}

@inproceedings{aaai2024_truth_7658,
  title = {{Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30087},
}

@inproceedings{icml2024_in_44891,
  title = {{In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33561},
}

@inproceedings{neurips2024_on_70363,
  title = {{On the Inductive Bias of Stacking Towards Improving Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96735},
}

@inproceedings{iclr2025_api_82909,
  title = {{API Pack: A Massive Multi-Programming Language Dataset for API Call Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28893},
}

@inproceedings{icml2025_codesteer_48050,
  title = {{CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44557},
}

@inproceedings{icml2025_moragent_48743,
  title = {{MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43879},
}

@inproceedings{icml2026_extra_51425,
  title = {{Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=M2aE1iEFHj},
}

@inproceedings{icml2026_minibatch_51990,
  title = {{Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Rl7YAiRT04},
}

@inproceedings{icml2026_from_54781,
  title = {{From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=sb4WSZfAsL},
}

@inproceedings{neurips2024_weak_73087,
  title = {{Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94341},
}

@inproceedings{neurips2025_quantifying_75928,
  title = {{Quantifying Elicitation of Latent Capabilities in Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Dkgx2pS4Ww},
}

@inproceedings{neurips2025_demystifying_79903,
  title = {{Demystifying Language Model Forgetting with Low-rank Example Associations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=u4j0LtCYid},
}

@inproceedings{iclr2025_unidetox_82868,
  title = {{UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28932},
}

@inproceedings{iclr2025_layer_83907,
  title = {{Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27913},
}

@inproceedings{neurips2026_neural_90491,
  title = {{Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148241},
}