@misc{https://doi.org/10.48550/arxiv.2502.14561,<br/><span class="tab"></span>
  doi = {10.48550/ARXIV.2502.14561},<br/><span class="tab"></span>
  url = {https://arxiv.org/abs/2502.14561},<br/><span class="tab"></span>
  author = {Koloveas,<br/><span class="tab"></span> Paris and Chatzopoulos,<br/><span class="tab"></span> Serafeim and Vergoulis,<br/><span class="tab"></span> Thanasis and Tryfonopoulos,<br/><span class="tab"></span> Christos},<br/><span class="tab"></span>
  keywords = {Computation and Language (cs.CL),<br/><span class="tab"></span> Digital Libraries (cs.DL),<br/><span class="tab"></span> FOS: Computer and information sciences,<br/><span class="tab"></span> FOS: Computer and information sciences},<br/><span class="tab"></span>
  title = {Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs},<br/><span class="tab"></span>
  publisher = {arXiv},<br/><span class="tab"></span>
  year = {2025},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}