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Mansooreh Karami

2 accepted papers

2024

Large Language Models for Data Annotation and Synthesis: A Survey

EMNLP 2024main

Data annotation and synthesis generally refers to the labeling or generating of raw data with relevant information, which could be used for improving the efficacy of machine learning models. The process, however, is labor-intensive and costly. The emergence of advanced Large Language Models (LLMs),…

2022

Text Transformations in Contrastive Self-Supervised Learning: A Review

IJCAI 2022poster

Contrastive self-supervised learning has become a prominent technique in representation learning. The main step in these methods is to contrast semantically similar and dissimilar pairs of samples. However, in the domain of Natural Language Processing (NLP), the augmentation methods used in creating…

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