Typical database query plans are dense, text-heavy, and hard to read. SQL Query Plan Visualizer turns them into intuitive, directed graphs (DAGs) that let you instantly spot performance bottlenecks.

This repository contains the official implementation of the CIKM 2025 paper "Multi-Turn Interactions for Text-to-SQL with Large Language Models". The following figure illustrates the overall workflow.

Abstract: Consistency learning combined with pseudo label training is a mainstream paradigm in semi-supervised medical image segmentation (SSMIS), yet it faces two challenges: 1)The one-sided search ...

According to researchers, medical training has reached a stage where students know more, but understand less. Although there are new opportunities to boost student engagement with learning materials, ...