Summary of Ensembling Finetuned Language Models For Text Classification, by Sebastian Pineda Arango et al.
Ensembling Finetuned Language Models for Text Classificationby Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber…
Ensembling Finetuned Language Models for Text Classificationby Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber…
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classificationby Wei Ai, Jianbin Li,…
Similarity-Dissimilarity Loss with Supervised Contrastive Learning for Multi-label Classificationby Guangming Huang, Yunfei Long, Cunjin Luo,…
Reducing Labeling Costs in Sentiment Analysis via Semi-Supervised Learningby Minoo Jafarlou, Mario M. KubekFirst submitted…
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis…
Exploring space efficiency in a tree-based linear model for extreme multi-label classificationby He-Zhe Lin, Cheng-Hung…
Text Classification using Graph Convolutional Networks: A Comprehensive Surveyby Syed Mustafa Haider Rizvi, Ramsha Imran,…
Manual Verbalizer Enrichment for Few-Shot Text Classificationby Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry…
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model…
Revisiting Hierarchical Text Classification: Inference and Metricsby Roman Plaud, Matthieu Labeau, Antoine Saillenfest, Thomas BonaldFirst…