Emerging technologies for Knowledge science, engineering and management
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Advancing Domain Adaptation of BERT by Learning Domain Term Semantics
Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds
An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark
TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models
PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning
A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios
Research on remote sensing image classification based on Transfer learning and Data Augmentation
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism
Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning
Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation
Are GPT Embeddings Useful for Ads and Recommendation?
Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach
KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue
Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation
Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization
Recent Progress on Text Summarisation Based on BERT and GPT
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization
A Legal Multi-Choice Question Answering Model Based on BERT and Attention
Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term
Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
Learning Category Discriminability for Active Domain Adaptation
Multi-Level Contrastive Learning for Commonsense Question Answering
Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model
Univarite Time Series Forecasting via Interactive Learning
Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries
Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning
A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction
A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer
Knowledge Leadership, AI Technology Adoption and Big Data Application Ability
RFLSem: A lightweight model for textual sentiment analysis.