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Full Description
The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.
The 523 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions.
This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications".
Contents
._Natural Language Processing and Computational Linguistics.
._An Efficient Emotional Speech Synthesis Approach via Multi-Scale Feature Generation.
._Self-Improvement: Large Language Models Can Self-Improve Generation with External Tools.
._CCSK: Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models.
._BERT-based Information Fusion Aspect-Level Sentiment Analysis Method.
._LG-LoRA: Learnable Group Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.
._A Word Replacement-based Data Augmentation Method for Low-Resource Neural Machine Translation.
._A Hierarchical Framework for Dialogue Topic Segmentation via Global Topic Shifts and Local Entity Coherence.
._PIDRCMPP: Rapid Multi-Strategy Hierarchical Jailbreak Attacks on LLMs.
._Auxiliary Context Module and Weighted Multihead Fusion for multimodal intent recognition.
._Enhancing Structural Awareness in Table-to-Text Generation through Multi-Task Learning.
._SadpFSRE: A Novel Semantic Aggregation and Dual Perspective Contrastive Framework for Few-Shot Relation Extraction.
._Improving Large Language Models for Programmatic Text Understanding via Iterative Instruction Refinement.
._Aspect-Based Sentiment Analysis with Dual Contrastive Learning and LLMs Data Augmentation.
._Multi_Semantic RAG: What's Not Important Is Important.
._CAT-CPR-TOD: A Framework for Context-Aware Training with Clue-Guided Prompt Reasoning in Task-Oriented Dialogue.
._A continuous diffusion text generation model with a new denoising structure.
._VF-Dual: View-Fusion Dual-Stream Architecture for Emotion Recognition in Conversations.
._Incorporating Cross-Lingual Fine-Grained Dual Alignment Features in Domain-Specific Translation Quality Estimation.
._Multi-Perspective Attention-enhanced Knowledge Graph-based recommendation.
._Learning to Expand: Dynamic Adaptive Monte-Carlo Tree Search for Code Generation.
._SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models.
._CyberRE-LLM: Cyber Threat Intelligence Relation Extraction with Large Language Model.
._Supporting Retriever's Training by Joint Likelihood-based Soft-label Generation.
._Retrieval-Augmented Generation with Mixed Sentence-BERT for Relation Extraction.
._Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness.
._Research on Controllable Text Generation Method Based on Hamiltonian Systems and Large Language Models.
._LDiT: Pseudo-Label Noise Adaptation via Label Diffusion Transformer.
._Evaluating Human-Large Language Model Alignment in Authorship Attribution.
._RDLoRA: Rank-Decomposed Low-Rank Adaptation for Multi-Task Medical Applications.
._R-DGCN: Adaptive Residual Weighting for Enhanced Personality Detection.
._Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge.
._Multi-hop ContraDial: Multi-hop Reasoning for Contradiction Detection in Dialogue.
._TSSP: Reducing Hallucinations in Abstractive Summarization through Targeted Syntactic Structure Planning.
._From Textbooks to Data: Generating High-Quality Domain-Specific QA Data with Large Language Models.
._RobustCSE: A Sentence Representation Method for Enhancing Contrastive Learning Framework with Large Language Models and Adversarial Training.
._SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding.
._N-gram Sliding Window Watermarking.
._EKE: External Knowledge-Enhanced Prompt for Chinese Few-shot Event Extraction.
._HalluScope: A Comprehensive Dataset for Evaluating Hallucination in Large Language Models Across Multiple Domains.
._FiGMEL: A Multimodal Entity Linking Framework with Large Language Models and Fine-Grained Semantic Class.
._Multimodal Sarcasm Detection Based on Cross-Modal Fine-Grained Fusion and Reasoning Chain Enhancement.
._MHGA-RAG: Multi-Hop Graph-Attention Synergy for Enhanced Retrieval-Augmented Generation.
._Dynamic Adversarial Training for Jailbreak Robustness: A Security Enhancement Scheme for LLMs.
