ORPAILLEUR & SyNaLP at CLEF 2024 Task 2: Good Old Cross Validation for Large Language Models Yields the Best Humorous Detection.

@inproceedings{epron-2024-orpailleur, author = {Pierre Epron and Ga\"{e}l Guibon and Miguel Couceiro}, editor = {Guglielmo Faggioli and Nicola Ferro and Petra Galusc\'{a}kov\'{a} and Alba Garcia Seco de Herrera}, title = {{ORPAILLEUR & SyNaLP at CLEF 2024 Task 2: Good Old Cross Validation for Large Language Models Yields the Best Humorous Detection}}, booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024}}, series = {CEUR Workshop Proceedings}, volume = {3740}, pages = {1841--1856}, publisher = {CEUR-WS.org}, year = {2024}, url = {https://ceur-ws.org/Vol-3740/paper-172.pdf} }