IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations


Journal article


Hyunji Nam, Lucia Langlois, James Malamut, Mei Tan, Dorottya Demszky
arXiv preprint arXiv:2509.02855, 2025


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APA   Click to copy
Nam, H., Langlois, L., Malamut, J., Tan, M., & Demszky, D. (2025). IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations. ArXiv Preprint ArXiv:2509.02855. https://doi.org/10.48550/arXiv.2509.02855


Chicago/Turabian   Click to copy
Nam, Hyunji, Lucia Langlois, James Malamut, Mei Tan, and Dorottya Demszky. “IDEAlign: Comparing Large Language Models to Human Experts in Open-Ended Interpretive Annotations.” arXiv preprint arXiv:2509.02855 (2025).


MLA   Click to copy
Nam, Hyunji, et al. “IDEAlign: Comparing Large Language Models to Human Experts in Open-Ended Interpretive Annotations.” ArXiv Preprint ArXiv:2509.02855, 2025, doi:10.48550/arXiv.2509.02855.


BibTeX   Click to copy

@article{nam2025a,
  title = {IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations},
  year = {2025},
  journal = {arXiv preprint arXiv:2509.02855},
  doi = {10.48550/arXiv.2509.02855},
  author = {Nam, Hyunji and Langlois, Lucia and Malamut, James and Tan, Mei and Demszky, Dorottya}
}