Ask and Verify: Smarter SQL Queries with Agentic Data Exploration

A new framework, APEX-SQL, improves the accuracy of converting natural language questions into database queries by actively learning and validating its assumptions about the underlying data.
![The Conditional Flow Matching (CFM) framework synthesizes grasps by learning a continuous transformation-guided by a conditional velocity field [latex]\mathbf{v}_{\theta}[/latex]-from initial rigid poses generated by Anygrasp [latex]\mathcal{G}_{\text{Anygrasp}}[/latex] to target soft gripper poses [latex]\mathcal{G}_{\text{CFM}}[/latex], a process parameterized by a feed-forward MLP and conditioned on scene geometry encoded by a U-Net autoencoder into a latent vector.](https://arxiv.org/html/2602.17110v1/x2.png)







