Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXIV /
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 pr...
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| Tác giả của công ty: | |
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| Tác giả khác: | , , , |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Phiên bản: | 1st ed. 2025. |
| Loạt: | Lecture Notes in Artificial Intelligence,
15865 |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-981-95-0020-8 |
| Các nhãn: |
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Mục lục:
- -- 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.