ICNLP2025 conference is mainly hosted by National Community of Key Data Elements for Industry-Education Harmonization, organized by Guangdong University of Finance and Economics and Guangzhou Huashang College, Co-organised by South China Normal University, Iflytek Co.,Ltd, Guangdong Polytechnic of Science and Technology, Guangzhou College of Commerce and Excellence Information Technology Corp., Ltd. We are honored to have the professors as keynote speakers to hear their powerful speeches: Prof. Chengqing Zong, Research fellow of Institute of Automation, Chinese Academy of Sciences (CAS); Prof. Haoran Xie, from Lingnan University, Hong Kong, China; Prof. Xiaojun Quan, from Sun Yat-sen University; Prof. Yan Song, from University of Science and Technology of China. We would like to express my warmest welcome to all the guests, my sincere congratulations on the successful convening of this conference, and my heartfelt thanks to all of you for your long-term care and support!
Best papers of ICNLP2025:
CT0119: Static and dynamic contextual embedding for AutoML in text classification tasks
Parisa Safikhani, David Broneske
Otto von Guericke University, Germany
CT0229: INTERPEVAL: A Multi-faceted Framework for Assessing Interpretability in Large Language
Models
Jianhui Chen, Zijun Yao, Lei Hou, Juanzi Li
Tsinghua Univeristy, China
CT0147: A Novel Suicide Risk Detection Method via Graph Context-Based Encoding and Adaptive
Aggregation
Xianming Zhang, Yongpan Sheng, Lirong He, Xiangwei Lai
Southwest University, China
Best presentations of all onsite sessions are:
Onsite Session 1: Text Analysis and Mining
CT0071
Exploring Evaluation Methods on Text Simplification: a Systematic Review
Victoria Muñoz-García, University of Alicante, Spain
Onsite Session 2: Language Detection and Extraction
CT0073
Would I Lie to You? Using Large Language Models for Deception Detection
Bjanka Vrljić, University of Zagreb, Croatia
Onsite Session 3: Multimodal Information Detection and Recognition Model
CT0177
Multi-Label Emotion Recognition Model Integrating Multi-Perspective Common Sense Knowledge
Yongan Wan, Jiangxi Normal University, China
Best presentations of all online sessions are:
Session 1
CT0013:
Innovative Color Image Processing Based on Multi-layer Memristive Cellular Neural Models
Zhiru Yang, from Xi’an University of Posts and Telecommunications, China
Session 2
CT0010:
Co-train Prompt Knowledge Enhanced Large Language Model with Neural Emotion Topic Model for News
Readers’ Prediction
Xu Mou, from Xi’an Jiaotong University, China
Session 3
CT0038:
Lane Detection Algorithm Based on UNet-CBAM-ASPP Network
Xinqian Yang, from Xi’an University of Posts and Telecommunication, China
Session 4
CT0102:
Multi-Modal Information Integration with Segmentation Clustering for Robust LiDAR-Camera Calibration
Xiaoqiao Tian, from Xi’an University of Posts and Telecommunications, China
Session 5
CT0173:
Political Metaphor Analysis Based on Large Language Models Prompt Engineering
Haohan Meng, from National University of Defense Technology, China
CT0233:
Leveraging Language Embeddings for Missing Data Imputation in Multilingual Digital Product Passports
Mehrnoosh Mollaeian, from Memorial University, Canada
Session 6
CT0183:
Research on the Application of Parallel FFT Algorithms in Matched Filtering Techniques
Yuxin Hu, from Xi’an University of Posts and Telecommunications, China
Session 7
CT0140
Politically Unbiased News Report Generation
Amogh Bharne, from PES University, India
Session 8
CT0094
Flexible Cloud-Assisted Multi-Party Private Set Intersection Protocol
Yaping Pu, from Xi’an University of Posts & Telecommunications, China
Session 9
CT0199:
Evaluating Medical Translation Quality Using Small Language Models: ACUI-Based Approach via Concept
Embeddings from UMLS Data
Nezih Nieto, from Gutiérrez Tecnologico de Monterrey, Mexico
Exploring the Impact of Temperature on Large Language Models: A Case Study for Classification Task
based on Word Sense Disambiguation
Thelhawadi Gedara Deshan, from Swansea University, Wales, UK
Session 10
CT0023:
The Impact of Dust Aerosols on The Performance of Satellite-ground Quantum Communication Links Boyang
Huang Xi’an University of Posts and Telecommunications, China
Xi’an University of Posts and Telecommunications