为对称分类任务减少预训练模型中的不一致性保持平衡

Mar, 2022

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks

Ashutosh Kumar, Aditya Joshi

TL;DR该研究使用一种一致性损失函数来解决在NLP领域中模型对称分类的不一致性问题，并在对称和非对称的六个数据集上测试并验证该方法。

Abstract

While fine-tuning pre-trained models for downstream classification is the conventional paradigm in nlp, often task-specific nuances may no