Database Systems for Advanced Applications

.- Language Model.
.- Collaborative Stance Detection via Small-Large Language Model Consistency Verification.
.- COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection.
.- SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering.
.- Improving Multi-Attribute Fairness in LLM-Based Recommenders through a Mixture-of-Experts Contrastive Learning Method.
.- Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification.
.- RBLU: A benchmark to evaluate the reverse inference ability of large language models.
.- Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.
.- Annotating Table Metadata with Knowledge-Enhanced Pre-trained Language Model.
.- An Evaluation Framework for Long-tail Senses in Large Language Models and Word Sense Disambiguation.
.- Learnable Relational Knowledge Distillation For Language Model Compression.
.- An Immersing Oriented Role-Playing Framework with Duplex Relationship Modeling.
.- SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.
.- Dual-path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-modal Financial Time Series Prediction.
.- Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
.- LLM-Driven Evidence Retrieval and Graph Learning for Explainable Rumor Detection.
.- Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game.
.- Content-based vs. Similarity-based Deep Learning Approaches for Walkability Assessment.
.- Log Parsing with LLMs Featuring Self-Reflection and Continuous Refining.
.- Industry Papers.
.- Driver Recipient Selection for Traffic Safety Education via Uplift Modeling.
.- CloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud.
.- ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting.
.- When Multi-scenario Meets Multi-attribute: Scenario and Attribute-aware Recommendation with Contrastive Learning.
.- AdaF2M2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System.
.- A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation*.
.- A Novel Parallel Graph Computing Model for Unsupervised Fraud Detection.
.- Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E commerce.
.- LLM-based Keyphrase-augmented Framework for Semantic Relevance Assessment in E-commerce.
.- OLearning: A Geo-Distributed System for Device-Cloud Collaborative Computing.
.- ProRAG: Towards Reliable and Proficient AIGC-Based Digital Avatar.
.- Contrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation.
.- BAG-RAG: Bidirectional Retrieval-Augmented Generation Based on Multi-Layer Semantic Graphs for Budget Auditing QA.
.- Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs.
.- Relation Discovery via Graph Neural Networks in the Era of Large Language Model.
.- Demo Papers.
.- GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs.
.- KungfuDB: a low latency in-memory time series database for quantitative trading systems.
.- STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories.
.- MMKG-RAG: Retrieval-Augmented Generation with Multi-Modal Knowledge Graph.
.- eBASE: Real-Time Battery Swap Recommendation System for eBike Users.STREAM: A Framework for Sequence Data Analysis, Modeling, and Anomaly Alerts.
.- Declarative AI-Assisted Range Aggregation Query Framework with Differential Privacy.
.- Pharmaformer: A Transformer-based pharmacokinetic prediction system.
.- QiboGraph: A Knowledge Graph for Traditional Chinese Medicine.