A survey of traffic prediction: from spatio-temporal data to intelligent transportation
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
Give us the facts: Enhancing large language models with knowledge graphs for fact-aware language modeling
Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls
Text-to-SQL parsing, which aims at converting natural language instructions into executable
SQLs, has gained increasing attention in recent years. In particular, GPT-4 and Claude-2 …
SQLs, has gained increasing attention in recent years. In particular, GPT-4 and Claude-2 …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
International Workshop on Multimodal Learning-2023 Theme: Multimodal Learning with Foundation Models
The recent advancements in machine learning and artificial intelligence (particularly
foundation models such as BERT, GPT-3, T5, ResNet, etc.) have demonstrated remarkable …
foundation models such as BERT, GPT-3, T5, ResNet, etc.) have demonstrated remarkable …
Are we ready for learned cardinality estimation?
Cardinality estimation is a fundamental but long unresolved problem in query optimization.
Recently, multiple papers from different research groups consistently report that learned …
Recently, multiple papers from different research groups consistently report that learned …
AI meets database: AI4DB and DB4AI
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …
make database more intelligent (AI4DB). For example, traditional empirical database …
opengauss: An autonomous database system
Although learning-based database optimization techniques have been studied from
academia in recent years, they have not been widely deployed in commercial database …
academia in recent years, they have not been widely deployed in commercial database …
A survey on advancing the dbms query optimizer: Cardinality estimation, cost model, and plan enumeration
Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this
paper is adopted in almost all current database systems. A cost-based optimizer introduces …
paper is adopted in almost all current database systems. A cost-based optimizer introduces …
Learned cardinality estimation: An in-depth study
Learned cardinality estimation (CE) has recently gained significant attention for replacing
long-studied traditional CE with machine learning, especially for deep learning. However …
long-studied traditional CE with machine learning, especially for deep learning. However …