Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information...Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information extraction.Automating these table-centric tasks with Large Language Models(LLMs)or Visual Language Models(VLMs)offers significant public benefits,garnering interest from academia and industry.This survey provides a comprehensive overview of table-related tasks,examining both user scenarios and technical aspects.It covers traditional tasks like table question answering as well as emerging fields such as spreadsheet manipulation and table data analysis.We summarize the training techniques for LLMs and VLMs tailored for table processing.Additionally,we discuss prompt engineering,particularly the use of LLM-powered agents,for various tablerelated tasks.Finally,we highlight several challenges,including diverse user input when serving and slow thinking using chainof-thought.展开更多
A practical numerical tool is developed to evaluate ship waves of high speed displacement ships on the basis of potential flow theory, in which high order boundary element method (HOBEM) based on biquadratic shape fun...A practical numerical tool is developed to evaluate ship waves of high speed displacement ships on the basis of potential flow theory, in which high order boundary element method (HOBEM) based on biquadratic shape functions is applied to solve the boundary value problem. Since the sinkage and trim of ship at high speeds are notable, influences of ship attitude on wave drag are investigated and three kinds of models are used to evaluate them. To make the numerical approach highly efficient, an incomplete LU factorization preconditioner is adopted and incorporated with the restarted generalized minimal residual method GMRES (m) to solve the boundary integral equation. A corresponding Fortran code is developed and applied to evaluate ship waves of the Wigley hull and 4a model, a transom stem ship. Computations are performed for both monohulls and catamarans over a wide range of Froude numbers (Fr= 0.10-l.00). Numerical issues including mesh convergence and computational efficiency are investigated at first. Computed results of the wave drag, sinkage and trim show generally good agreement with experimental data. Reasonable wave patterns are obtained and physical phenomena that wake angle max, where the largest waves occur, would become narrow at high speeds is also captured by the present computations. Numerical results indicate the proposed method would be accurate and efficient to evaluate resistance for hull design of high speed displacement ship.展开更多
Database and Artificial Intelligence(AI)can benefit from each other.On the one hand,AI can make database more intelligent(AI4DB)by exploiting learning-based techniques.On the other hand,database techniques can optimiz...Database and Artificial Intelligence(AI)can benefit from each other.On the one hand,AI can make database more intelligent(AI4DB)by exploiting learning-based techniques.On the other hand,database techniques can optimize AI models(DB4AI),such as reducing the complexity of using AI models and accelerating the deployment of AI algorithms.In this special section,we discuss 1)how to exploit AI or machine learning techniques for index design,performance tuning,query processing in database systems,and 2)how to utilize database and data management techniques to make AI models more reusable and more tolerant to dirty data.To promote the recent work on AI4DB and DB4AI,we organize this special section at Journal of Computer Science and Technology(JCST).We received 20 papers from all over the world.First,the vip editors preformed quick reviews and immediately rejected those of not sufficiently high quality submissions.Then,each remaining submission was reviewed by at least three invited international reviewers.All the papers were carried out two rounds of reviews,and the authors were asked to address all the major and minor issues in their submissions during the review process.Eventually we accepted seven high-quality submissions in terms of clarity,novelty,significance,and relevance.展开更多
基金supported by the National Key R&D Program of China(2023YFF0725100)the National Natural Science Foundation of China(Grant Nos.62322214,62272466)the Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China(24XNKJ22)。
文摘Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information extraction.Automating these table-centric tasks with Large Language Models(LLMs)or Visual Language Models(VLMs)offers significant public benefits,garnering interest from academia and industry.This survey provides a comprehensive overview of table-related tasks,examining both user scenarios and technical aspects.It covers traditional tasks like table question answering as well as emerging fields such as spreadsheet manipulation and table data analysis.We summarize the training techniques for LLMs and VLMs tailored for table processing.Additionally,we discuss prompt engineering,particularly the use of LLM-powered agents,for various tablerelated tasks.Finally,we highlight several challenges,including diverse user input when serving and slow thinking using chainof-thought.
基金National Natural Science Foundation of China(Grant Nos.51479117,51579147)the National Key Basic Research Development Program of China(973 Program,Grant No.2014CB046203).
文摘A practical numerical tool is developed to evaluate ship waves of high speed displacement ships on the basis of potential flow theory, in which high order boundary element method (HOBEM) based on biquadratic shape functions is applied to solve the boundary value problem. Since the sinkage and trim of ship at high speeds are notable, influences of ship attitude on wave drag are investigated and three kinds of models are used to evaluate them. To make the numerical approach highly efficient, an incomplete LU factorization preconditioner is adopted and incorporated with the restarted generalized minimal residual method GMRES (m) to solve the boundary integral equation. A corresponding Fortran code is developed and applied to evaluate ship waves of the Wigley hull and 4a model, a transom stem ship. Computations are performed for both monohulls and catamarans over a wide range of Froude numbers (Fr= 0.10-l.00). Numerical issues including mesh convergence and computational efficiency are investigated at first. Computed results of the wave drag, sinkage and trim show generally good agreement with experimental data. Reasonable wave patterns are obtained and physical phenomena that wake angle max, where the largest waves occur, would become narrow at high speeds is also captured by the present computations. Numerical results indicate the proposed method would be accurate and efficient to evaluate resistance for hull design of high speed displacement ship.
文摘Database and Artificial Intelligence(AI)can benefit from each other.On the one hand,AI can make database more intelligent(AI4DB)by exploiting learning-based techniques.On the other hand,database techniques can optimize AI models(DB4AI),such as reducing the complexity of using AI models and accelerating the deployment of AI algorithms.In this special section,we discuss 1)how to exploit AI or machine learning techniques for index design,performance tuning,query processing in database systems,and 2)how to utilize database and data management techniques to make AI models more reusable and more tolerant to dirty data.To promote the recent work on AI4DB and DB4AI,we organize this special section at Journal of Computer Science and Technology(JCST).We received 20 papers from all over the world.First,the vip editors preformed quick reviews and immediately rejected those of not sufficiently high quality submissions.Then,each remaining submission was reviewed by at least three invited international reviewers.All the papers were carried out two rounds of reviews,and the authors were asked to address all the major and minor issues in their submissions during the review process.Eventually we accepted seven high-quality submissions in terms of clarity,novelty,significance,and relevance.
