Advanced intelligent computing techn...
International Conference on Intelligent Computing (2025 :)

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  • Advanced intelligent computing technology and applications = 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025 : proceedings.. Part XXIII /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advanced intelligent computing technology and applications/ edited by De-Shuang Huang ... [et al.].
    其他題名: 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025 : proceedings.
    其他題名: ICIC 2025
    其他作者: Huang, De-Shuang.
    團體作者: International Conference on Intelligent Computing
    出版者: Singapore :Springer Nature Singapore : : 2025.,
    面頁冊數: xxi, 537 p. :ill. (some col.), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Computational intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-95-0014-7
    ISBN: 9789819500147
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