TL;DR
This work analyzes query logs from MotherDuck, a cloud analytics platform built on DuckDB, to show that real-world SQL extends far beyond analytical queries, with users frequently employing dialect-specific functionality that LLMs struggle with.
This work presents AutoSQL, a system that reconstructs SQL templates from Go ORM code that constructs a Code Index, a directed graph that captures structural dependencies between functions, types, and global variables as navigable edges and synthesizes SQL templates.
A fresh perspective is presented that turns parser errors -- traditionally seen as roadblocks -- into opportunities for generating valid, context-aware autocomplete suggestions, enabling domain-specific languages to provide basic development assistance with minimal overhead.
In this ablation, retrieved knowledge-base context provides the largest marginal improvement when added to the full oracle graph, and a distillation procedure that turns historical query profiles into reusable SQL reference cards is optimized.
A large empirical study on using LLMs to generate CI configurations from natural language across services and model families suggests that similarity and validity are distinct objectives for CI generation and motivate schema-aware evaluation and tooling for LLM-based configuration generation.
Compilable Academic Document Parsing (CADP) is proposed, a paradigm that reconstructs a full page as contextual \LaTeX{} plus executable Python, so that structure-preserving elements and executable chart representations can be reconstructed, recompiled, and directly verified against the source page.
PLSQLBench is the first benchmark for evaluating whether LLMs can write executable PL/SQL programs, with correctness measured through execution-based tests, and recurring difficulties in schema grounding, PL/SQL dialect fidelity, procedural control flow, exception handling, and cross-turn consistency are revealed.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
