Neural Information Processing
Springer Nature Switzerland AG (Verlag)
978-981-96-7029-1 (ISBN)
The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Evaluating Large Language Models for Depression Detection in Text: A Comparative Analysis.- A Self-Sampling Data Augmentation Method for Low-Resource Neural Machine Translation.- RLKGE: Trustworthiness Measurement for Knowledge Graph Triples based on Reinforcement Learning.- Improving Empathetic Dialogue Generation via Response Attention Guidance.- Advanced Stock Market Forecasting Using Synergic of Sentiment Analysis and Association Rule Mining.- Exploit the Emotional Dynamics for Better Conversational Emotion Recognition.- Knowledge Enhanced Sentence-Level Fine-grained Relation Extraction via Multi-Agent Collaborative Generation.- Multi-view Adaptive Fusion Model for Multimodal Fake News Detection.- A Hybrid Prompt Method for Few-shot Named Entity Recognition.- GDBT: A Joint Model for Overlapping Relational Triple Extraction Based Global Detection and Bidirectional Tagging.- Retrieval-Enhanced Method Using Siamese Networks and Graph Kernel Functions for Code Summarization.- Enhancing Prompt Tuning for Smaller Pretrained Models via Knowledge Distillation.- AcademicMT: Boosting Performance of Large Language Models in Academic Translation.- Improving Neural Machine Translation by Multi-Step Teacher-Assisant Knowledge Distillation.- Enhancing Robustness in Large Language Models Prompting for Mitigating the Impact of Irrelevant Information.- TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers.- A Legal Case Matching Model Using Dual LLMs, BGE, and Mamba-2.- Fine-grained Controllable Generation of Latent Language Diffusion Models 252.- Can Dynamic Prompt Help Sentiment Style Transfer?.- Label-template based Few-Shot Text Classification with Contrastive Learning.- Curriculum Learning with Difficulty Division for Metaphor Detection.- Open-Source Large Language Models Excel in Named Entity Recognition.- Precision Where It Matters: A Novel Spike Aware Mixed-Precision
Quantization Strategy for LLaMA-based Language Models.- Hypergraph Contrastive Learning for Evidence-Aware Fake News Detection.- SmartPL: An Integrated Approach for Platoons Driving on
Mixed-Traffic Freeways.- Optimizing Training Speed with Novel Adaptive Exploration Technique
in Simulation and Real-World Robotics for Visual Path Following.- Modeling and Adaptive Sliding Mode Control of Autonomous Underwater Vehicles.- Causality-Aware Transformer Networks for Robotic Navigation.
| Erscheinungsdatum | 15.06.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 117 Illustrations, color; 7 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applied Computing • Artificial Intelligence • Collaborative and social computing • document management and text processing • Education • human-centered computing • Information Retrieval • information systems • Information Systems Applications • Information Theory • machine learning • Operations Research • physical sciences and engineering • semantics and reasoning • Theory and algorithms for application domains • ubiquitous and mobile computing • Visualization |
| ISBN-10 | 981-96-7029-2 / 9819670292 |
| ISBN-13 | 978-981-96-7029-1 / 9789819670291 |
| Zustand | Neuware |
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