Huang / Zhang / Chen Advanced Intelligent Computing Technology and Applications

21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXIV
Erscheinungsjahr 2025
ISBN: 978-981-950020-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 521 Seiten

Reihe: Lecture Notes in Computer Science

The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. 

Zielgruppe

Research

Autoren/Hrsg.

Huang, De-Shuang

Zhang, Qinhu

Zhang, Chuanlei

Chen, Wei

Inhaltsverzeichnis

.- Natural Language Processing and Computational Linguistics.
.- Mongolian Multimodal Sentiment Analysis Based on Multi-Level Attention  and Convolution-Enhanced Fusion.
.- Research on joint extraction of Chinese diabetes entity relations based on  hybrid attention and hierarchical network.
.- SSC-SQL: A Text-to-SQL Generation Framework with Multi-Process  Collaboration.
.- CoT Reasoning-Based Content Adaptation and Image Generation for Chinese  Poetry.
.- Self-Attentive CycleGAN for Damaged Khitan Script Reconstruction.
.- A Hierarchical Prompt-Enhanced Mix-up Model with Graph Attention  Networks for Academic Text Classification.
.- Dynamic Neural Transfer for Domain-Level Zero-Shot Cognitive Diagnosis.
.- Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights  and Limitations.
.- LENS-RMHR: Enhancing Telecom Fraud Detection with Large Language  Model Neuron Selection.
.- GeneralCI: Do LLMs Have the Generalization Ability in Conducting Causal  Inference.
.- Multimodal Sentiment Analysis of Mongolian Language Based on Gated  Transformer and Adaptive Hyper-modality.
.- Towards a Concise Benchmark for Security Risk Evaluation in Large  Language Models.
.- Personalized Prompt Attack Strategies Against Large Language Models.
.- MACCISA: A Multimodal Commonsense Knowledge Aware Model for  Counterfactual Implicit Sentiment Analysis.
.- Concept-Guided Persona Perception with Commonsense Reasoning for  Personalized Dialogue Generation.
.- Self-Distillation Model for Emotion Recognition with Cross-Modal  Interaction and Graph Neural Networks.
.- Talk the Talk, Debate the Bias: LLM Alignment via Role-Play Rumble.
.- BERT-CHAB: Hierarchical Context Fusion with Adaptive Boundary  Detection for Robust Chinese Named Entity Recognition in Noisy Social  Media.
.- Personalized Emotion Prediction Using Instruction-Tuned Large Language  Models.
.- BiCoT: Enhancing Large Language Model Reasoning Through Bidirectional  Correction of Thought.
.- MAF-CPR: LLM-Based Multi-Agent Framework for Complex Pull Request  Review in GitHub.
.- Definition Modeling for WSD and Semantic Perplexity-BERT Composite  Score (SPBS).
.- Syntax and Semantic Dual-Enhanced Chinese Named Entity Recognition.
.- Improve Question Generation via Dual Perspective Key Phrase Selection.
.- OptiACL: Optimized Anchor Contrastive Learning Framework for  Multimodal Conversational Emotion Recognition.
.- Implicit Validation Inference for Few-shot Named Entity Recognition.
.- Token Memory Transformer with Infinite Context.
.- FrameNet and Multiway Attention for Chinese Event Argument Extraction.
.- CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named  Entity Recognition.
.- Optimizing Knowledge Graph Reasoning via Global Relation Pruning with  LLMs.
.- Document-level Relation Extraction with Retrieval-Augmented.
.- SARGAT: A Relation-Typed Graph Attention Network with Sentiment  Distance-Aware Attention for Aspect-Based Sentiment Analysis.
.- HierDaC: Detecting Long-Text Misinformation via Hierarchical Divide-and-Conquer.
.- Rethinking the Chain-of-Thought: The Roles of In-Context Learning and  Pretrained Priors.
.- UOS-FSNER: Unified One-stage Few-shot Named Entity Recognition.
.- HealthBridge: A Cross-lingual Clustering Framework for English-Chinese  Health News.
.- MedLite: a lightweight medical multimodal model based on knowledge  distillation and inference optimization.
.- Do Not Say It Directly: Generating Indirect Expressions with Large Language  Models.
.- ME-CWNER: Multi-metadata Embedding based Chinese Named Entity  Recognition for Wheat Diseases and Pests.
.- Join Social and Temporal Information for Rumor Detection.
.- Advancing Low-Resource Machine Translation: A Unified Data Selection  and Scoring Optimization Framework.
.- Multi-modal Entity Linking Model based on Knowledge Distillation.
.- A Semantic-Structural Synergistic Chunking Method for Enhancing Domain Specific LLM Fine-Tuning.