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
MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions
Jinming Zhang, Yunfei Long
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications
Yixiang Qu, Yifan Dai, Shilin Yu, Pradham Tanikella, Travis Schrank, Trevor Hackman, Didong Li, Di Wu
Future of Information Retrieval Research in the Age of Generative AI
James Allan, Eunsol Choi, Daniel P. Lopresti, Hamed Zamani
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge
Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Su Chang, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
Detecting Memorization in Large Language Models
Eduardo Slonski
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study
Zhyar Rzgar K Rostam, Gábor Kertész
Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
Nurshat Fateh Ali, Md. Mahdi Mohtasim, Shakil Mosharrof, T. Gopi Krishna
A survey on cutting-edge relation extraction techniques based on language models
Jose A. Diaz-Garcia, Julio Amador Diaz Lopez
An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese
Duc-Vu Nguyen, Thang Chau Phan, Quoc-Nam Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
Anton Frederik Thielmann, Soheila Samiee
Recent Trends in Linear Text Segmentation: a Survey
Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
Integrating Geodesic Interpolation and Flow Matching for Non-Autoregressive Text Generation in Logit Space
Egor Sevriugov, Ivan Oseledets