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

@inproceedings{icml2023_the_42523,
  title = {{The Flan Collection: Designing Data and Methods for Effective Instruction Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23743},
}

@inproceedings{iclr2022_finetuned_31543,
  title = {{Finetuned Language Models are Zero-Shot Learners}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6254},
}

@inproceedings{iclr2024_pandalm_33648,
  title = {{PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19427},
}

@inproceedings{iclr2024_mixture_33691,
  title = {{Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19384},
}

@inproceedings{icml2023_exploring_42382,
  title = {{Exploring the Benefits of Training Expert Language Models over Instruction Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23671},
}

@inproceedings{iclr2024_alpagasus_34017,
  title = {{AlpaGasus: Training a Better Alpaca with Fewer Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19058},
}

@inproceedings{aaai2024_investigating_6355,
  title = {{Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29909},
}

@inproceedings{iclr2024_instag_35309,
  title = {{\#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17764},
}

@inproceedings{neurips2023_on_66763,
  title = {{On the Exploitability of Instruction Tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72871},
}

@inproceedings{aaai2025_xcot_11311,
  title = {{XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34524},
}

@inproceedings{iclr2024_evaluating_34920,
  title = {{Evaluating the Zero-shot Robustness of Instruction-tuned Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18154},
}

@inproceedings{iclr2024_safety_34931,
  title = {{Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18143},
}

@inproceedings{aaai2025_unveiling_11190,
  title = {{Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34789},
}

@inproceedings{neurips2024_quanta_71216,
  title = {{QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96019},
}

@inproceedings{neurips2024_selfcodealign_74497,
  title = {{SelfCodeAlign: Self-Alignment for Code Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93079},
}

@inproceedings{aaai2025_chain_8405,
  title = {{Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34574},
}

@inproceedings{iclr2025_self_82749,
  title = {{Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29049},
}

@inproceedings{icml2024_instruction_44222,
  title = {{Instruction Tuning for Secure Code Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34230},
}

@inproceedings{icml2024_a_44644,
  title = {{A Closer Look at the Limitations of Instruction Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33808},
}

@inproceedings{neurips2024_dart_74633,
  title = {{DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92959},
}

@inproceedings{aaai2024_dingo_5563,
  title = {{DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29768},
}

@inproceedings{aaai2025_beyond_8249,
  title = {{Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34798},
}

@inproceedings{aaai2025_enhancing_8980,
  title = {{Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34513},
}

@inproceedings{aaai2025_inversecoder_9600,
  title = {{InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34742},
}