NLP Field
Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research emphasizes improving model performance across diverse tasks, including question answering, text classification, and information extraction, often leveraging large language models (LLMs) and transformer architectures. These advancements are significantly impacting various fields, from healthcare (e.g., dementia detection, clinical data analysis) and legal (e.g., document processing, legal reasoning) to education and cybersecurity, by automating tasks and providing new analytical capabilities. A key challenge remains ensuring fairness, mitigating biases, and addressing privacy concerns within these powerful models.
Papers
Enhancing Product Safety in E-Commerce with NLP
Kishaloy Halder, Josip Krapac, Dmitry Goryunov, Anthony Brew, Matti Lyra, Alsida Dizdari, William Gillett, Adrien Renahy, Sinan Tang
Exploring Mode Connectivity for Pre-trained Language Models
Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schütze