E-grāmata: Knowledge Science, Engineering and Management: 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV

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.