Advanced Intelligent Computing Technology and Applications

.- 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.