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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXIII /

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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Соавтор: SpringerLink (Online service)
Другие авторы: Huang, De-Shuang (Редактор), Li, Bo (Редактор), Chen, Haiming (Редактор), Zhang, Chuanlei (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Редактирование:1st ed. 2025.
Серии:Lecture Notes in Artificial Intelligence, 15864
Предметы:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online-ссылка:https://doi.org/10.1007/978-981-95-0014-7
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Оглавление:
  • -- Natural Language Processing and Computational Linguistics.
  • Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning.
  • ModalLogicBench: Unveiling Modal Logic Reasoning Abilities of Large Language Models.
  • A Source Template-based Data Augmentation Method for Low-Resource Neural Machine Translation.
  • Exploring Behavior-Driven Development for Code Generation.
  • LLM- Based Data Synthesis and Distillation for High-Quality Text-to-SQL Training.
  • External Knowledge-Enhanced Semi-supervised Multi-Label Short Text Classification.
  • Bridging Knowledge Gaps: Fine-Tuned RAG Frameworks for Biomedical Evidence-Based Question Answering.
  • MTAOS: Aspect-Level Opinion Summarization with Opinion Phrase Masking.
  • COMLoRA: A chain-based LoRA architecture combined with MoE.
  • Sentence Trunk Fusion for Neural Machine Translation.
  • ProCFD: Towards Robust Multimodal Sentiment Analysis through Prototype Fusion and Contrastive Feature Decomposition.
  • T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task.
  • ALMP: Automatic Layer-by-layer Mixed-Precision Quantization For Large Language Models.
  • Can we employ LLM to meta-evaluate LLM-based evaluators? A Preliminary Study.
  • EmbSpeech: A Unified Framework Towards Low-Resource Zero-Shot Speech Synthesis.
  • SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering.
  • Event Causality Extraction via Label-Aware Multi-Prompt Generation Network.
  • Improving Low-Resource Neural Machine Translation with Dependency Distance-based Self-Attention.
  • Automated Coding Utterances toward Chinese Course Core Competence with Large Language Models.
  • Introspective Reward Modeling via Inverse Reinforcement Learning for LLM Alignment.
  • BERTFAN: Multi-Layer Feature Fusion and Data Augmentation for Sentiment Analysis.
  • Instruction Tuning with Data Augmentation for Event Argument Extraction.
  • EQAA-MAC: Enhancing Question Answering Accuracy via Multi-Agent Cooperation in IT Operations.
  • Cross-domain Constituency Parsing with Multi-LLM Debate.
  • Unified Option Generation for Zero- and Few-shot Emotion and Cause Analysis in Dialogues.
  • Open-World Knowledge Augmentation for Zero-Shot Information Extraction in LLMs.
  • Prompting Large Models for Knowledge and Reasoning Augmentation in KB-VQA.
  • IterSelectTune: An Iterative Data Selection Framework for Efficient Instruction Tuning.
  • Utilize unbiased contrastive learning to enhance the key emotional features in low-resource sentiment analysis.
  • Post-training Performance Boosting Method for Code Large Language Models via Model Merging.
  • Automated Construction of High-quality Evaluation Datasets Based on LLMs.
  • Enhancing Code Generation for Large Language Models Using Fine-Grained Distillation.
  • Morphological Recombination-Based Neural Machine Translation with Self Supervised Data Augmentation.
  • From Coarse to Fine: Chinese Spelling Correction Based on LoRA Technology and Multi-Agent Collaboration.
  • Using External knowledge to Enhanced PLM for Semantic Matching.
  • UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.
  • Towards Reliable Large Language Models: A Survey on Hallucination Detection.
  • KPEE: A Two-Stage Proposal-Based Reformulation of Event Extraction.
  • Morphology-Driven Meta-Adapter for Low-Resource Mongolian Sentiment Analysis.
  • Knowledge Graph Completion Combining Dynamic Learnability and Contrastive Learning.
  • FlexKG: A Flexible Framework for Enhanced Reasoning over Knowledge Graph with Large Language Model.
  • Enhancing Code Search Fine-Tuning with Momentum Contrastive Learning and Cross-Modal Matching.
  • RECODE: Leveraging Reliable Self-Generated Tests and Fine-Grained Execution Feedback to Enhance LLM-Based Code Generation.
  • Evidence-Augmented Generative Explanation for Health Rumor Detection.

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