{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819500192","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Natural Language Processing and Computational Linguistics.\u003cbr\u003e\u003c\/strong\u003e.- Mongolian Multimodal Sentiment Analysis Based on Multi-Level Attention  and Convolution-Enhanced Fusion.\u003cbr\u003e.- Research on joint extraction of Chinese diabetes entity relations based on  hybrid attention and hierarchical network.\u003cbr\u003e.- SSC-SQL: A Text-to-SQL Generation Framework with Multi-Process  Collaboration.\u003cbr\u003e.- CoT Reasoning-Based Content Adaptation and Image Generation for Chinese  Poetry.\u003cbr\u003e.- Self-Attentive CycleGAN for Damaged Khitan Script Reconstruction.\u003cbr\u003e.- A Hierarchical Prompt-Enhanced Mix-up Model with Graph Attention  Networks for Academic Text Classification.\u003cbr\u003e.- Dynamic Neural Transfer for Domain-Level Zero-Shot Cognitive Diagnosis.\u003cbr\u003e.- Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights  and Limitations.\u003cbr\u003e.- LENS-RMHR: Enhancing Telecom Fraud Detection with Large Language  Model Neuron Selection.\u003cbr\u003e.- GeneralCI: Do LLMs Have the Generalization Ability in Conducting Causal  Inference.\u003cbr\u003e.- Multimodal Sentiment Analysis of Mongolian Language Based on Gated  Transformer and Adaptive Hyper-modality.\u003cbr\u003e.- Towards a Concise Benchmark for Security Risk Evaluation in Large  Language Models.\u003cbr\u003e.- Personalized Prompt Attack Strategies Against Large Language Models.\u003cbr\u003e.- MACCISA: A Multimodal Commonsense Knowledge Aware Model for  Counterfactual Implicit Sentiment Analysis.\u003cbr\u003e.- Concept-Guided Persona Perception with Commonsense Reasoning for  Personalized Dialogue Generation.\u003cbr\u003e.- Self-Distillation Model for Emotion Recognition with Cross-Modal  Interaction and Graph Neural Networks.\u003cbr\u003e.- Talk the Talk, Debate the Bias: LLM Alignment via Role-Play Rumble.\u003cbr\u003e.- BERT-CHAB: Hierarchical Context Fusion with Adaptive Boundary  Detection for Robust Chinese Named Entity Recognition in Noisy Social  Media.\u003cbr\u003e.- Personalized Emotion Prediction Using Instruction-Tuned Large Language  Models.\u003cbr\u003e.- BiCoT: Enhancing Large Language Model Reasoning Through Bidirectional  Correction of Thought.\u003cbr\u003e.- MAF-CPR: LLM-Based Multi-Agent Framework for Complex Pull Request  Review in GitHub.\u003cbr\u003e.- Definition Modeling for WSD and Semantic Perplexity-BERT Composite  Score (SPBS).\u003cbr\u003e.- Syntax and Semantic Dual-Enhanced Chinese Named Entity Recognition.\u003cbr\u003e.- Improve Question Generation via Dual Perspective Key Phrase Selection.\u003cbr\u003e.- OptiACL: Optimized Anchor Contrastive Learning Framework for  Multimodal Conversational Emotion Recognition.\u003cbr\u003e.- Implicit Validation Inference for Few-shot Named Entity Recognition.\u003cbr\u003e.- Token Memory Transformer with Infinite Context.\u003cbr\u003e.- FrameNet and Multiway Attention for Chinese Event Argument Extraction.\u003cbr\u003e.- CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named  Entity Recognition.\u003cbr\u003e.- Optimizing Knowledge Graph Reasoning via Global Relation Pruning with  LLMs.\u003cbr\u003e.- Document-level Relation Extraction with Retrieval-Augmented.\u003cbr\u003e.- SARGAT: A Relation-Typed Graph Attention Network with Sentiment  Distance-Aware Attention for Aspect-Based Sentiment Analysis.\u003cbr\u003e.- HierDaC: Detecting Long-Text Misinformation via Hierarchical Divide-and-Conquer.\u003cbr\u003e.- Rethinking the Chain-of-Thought: The Roles of In-Context Learning and  Pretrained Priors.\u003cbr\u003e.- UOS-FSNER: Unified One-stage Few-shot Named Entity Recognition.\u003cbr\u003e.- HealthBridge: A Cross-lingual Clustering Framework for English-Chinese  Health News.\u003cbr\u003e.- MedLite: a lightweight medical multimodal model based on knowledge  distillation and inference optimization.\u003cbr\u003e.- Do Not Say It Directly: Generating Indirect Expressions with Large Language  Models.\u003cbr\u003e.- ME-CWNER: Multi-metadata Embedding based Chinese Named Entity  Recognition for Wheat Diseases and Pests.\u003cbr\u003e.- Join Social and Temporal Information for Rumor Detection.\u003cbr\u003e.- Advancing Low-Resource Machine Translation: A Unified Data Selection  and Scoring Optimization Framework.\u003cbr\u003e.- Multi-modal Entity Linking Model based on Knowledge Distillation.\u003cbr\u003e.- A Semantic-Structural Synergistic Chunking Method for Enhancing Domain Specific LLM Fine-Tuning.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default 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