De-noising Document Classification Benchmarks via Prompt-Based Rank Pruning: A Case Study.

@inproceedings{wiegmann-2024-denoising, author = {Matti Wiegmann and Benno Stein and Martin Potthast}, editor = {Lorraine Goeuriot and Philippe Mulhem and Georges Qu\'{e}not and Didier Schwab and Giorgio Maria Di Nunzio and Laure Soulier and Petra Galusc\'{a}kov\'{a} and Alba Garcia Seco de Herrera and Guglielmo Faggioli and Nicola Ferro}, title = {{De-noising Document Classification Benchmarks via Prompt-Based Rank Pruning: A Case Study}}, booktitle = {{Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {14958}, pages = {172--178}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-71736-9_12}, doi = {https://doi.org/10.1007/978-3-031-71736-9_12} }