Natural Language Processing
Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily emphasizes large language models (LLMs), exploring their capabilities in various tasks like question answering, text classification, and translation, while also addressing challenges such as bias, efficiency, and the need for better evaluation metrics. The field's significance lies in its potential to revolutionize numerous applications, from improving healthcare and education to enhancing information access and facilitating more effective human-computer interaction.
Papers
Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training
Sabine Wehnert, Muhammet Ertas, Ernesto William De Luca
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
Yubo Wang, Haoyang Li, Fei Teng, Lei Chen
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
Jalisha Jashim Era, Bidyarthi Paul, Tahmid Sattar Aothoi, Mirazur Rahman Zim, Faisal Muhammad Shah
Transformers Simulate MLE for Sequence Generation in Bayesian Networks
Yuan Cao, Yihan He, Dennis Wu, Hong-Yu Chen, Jianqing Fan, Han Liu
A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Andrea Matarazzo, Riccardo Torlone
Comparative Study of Deep Learning Architectures for Textual Damage Level Classification
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Boosting Explainability through Selective Rationalization in Pre-trained Language Models
Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu
Applications of natural language processing in aviation safety: A review and qualitative analysis
Aziida Nanyonga, Keith Joiner, Ugur Turhan, Graham Wild
Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation
Nithyasri Narasimhan, Sagarika Singh
The Text Classification Pipeline: Starting Shallow going Deeper
Marco Siino, Ilenia Tinnirello, Marco La Cascia
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models
Christos Petridis
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
Pengfei Jing, Mengyun Tang, Xiaorong Shi, Xing Zheng, Sen Nie, Shi Wu, Yong Yang, Xiapu Luo