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IEEE

Multi-label text classification using prompting techniques via LLMs in Software Effort Estimation

Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...
IEEE

Adversarial Training and Contrastive Loss: Addressing Biases in Non-Topical Classification and Text Regression Tasks

Abstract: Topical shifts—differences between the topic distribution in training and test data—can substantially reduce the performance of non-topical text classification and regression models. In this ...