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
Trustworthy AI: Securing Sensitive Data in Large Language Models
Georgios Feretzakis, Vassilios S. Verykios
Automated Detection and Analysis of Power Words in Persuasive Text Using Natural Language Processing
Sahil Garje
On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms
Richard Yue, John E. Ortega, Kenneth Ward Church
Graph Reasoning with Large Language Models via Pseudo-code Prompting
Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
Supriya Manna, Niladri Sett
Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing
Enrica Troiano, Sofie Labat, Marco Antonio Stranisci, Viviana Patti, Rossana Damiano, Roman Klinger
What is the social benefit of hate speech detection research? A Systematic Review
Sidney Gig-Jan Wong
data2lang2vec: Data Driven Typological Features Completion
Hamidreza Amirzadeh, Sadegh Jafari, Anika Harju, Rob van der Goot
LLM-CARD: Towards a Description and Landscape of Large Language Models
Shengwei Tian, Lifeng Han, Erick Mendez Guzman, Goran Nenadic
Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions
Zeyneb N. Kaya, Souvick Ghosh
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms
Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu
Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification
Ramya Keerthy Thatikonda, Jiuzhou Han, Wray Buntine, Ehsan Shareghi
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh
XTRUST: On the Multilingual Trustworthiness of Large Language Models
Yahan Li, Yi Wang, Yi Chang, Yuan Wu