%0 Generic %1 alizadeh2024opensourcellmstextannotation %A Alizadeh, Meysam %A Kubli, Maël %A Samei, Zeynab %A Dehghani, Shirin %A Zahedivafa, Mohammadmasiha %A Bermeo, Juan Diego %A Korobeynikova, Maria %A Gilardi, Fabrizio %D 2024 %K LLM NLP annotation %T Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning %U https://arxiv.org/abs/2307.02179

@misc{alizadeh2024opensourcellmstextannotation, added-at = {2024-09-08T00:57:43.000+0200}, archiveprefix = {arXiv}, author = {Alizadeh, Meysam and Kubli, Maël and Samei, Zeynab and Dehghani, Shirin and Zahedivafa, Mohammadmasiha and Bermeo, Juan Diego and Korobeynikova, Maria and Gilardi, Fabrizio}, biburl = {https://www.bibsonomy.org/bibtex/269c25060ee8080fee8710689a9c1c816/pfcdgayo}, description = {[2307.02179] Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning}, eprint = {2307.02179}, interhash = {00a67f56acc061d57efffd2f26574bf5}, intrahash = {69c25060ee8080fee8710689a9c1c816}, keywords = {LLM NLP annotation}, primaryclass = {cs.CL}, timestamp = {2024-09-08T00:57:43.000+0200}, title = {Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning}, url = {https://arxiv.org/abs/2307.02179}, year = 2024 }