Abstract: Recent work has shown that fine-tuning LLMs with synthetic data improves text-to-SQL performance. However, synthetic data for in-context learning (ICL) remains underexplored. Existing data ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Empower employees like Ritz-Carlton to resolve issues instantly, enhancing service quality and boosting customer loyalty through empowered decision-making. Create emotional connections, as Starbucks ...

Accurate prediction of materials phase diagrams from first principles remains a central challenge in computational materials science. Machine-learning interatomic potentials can provide near-DFT ...

Publications appear to have lost rankings for broad "best of" queries to brands and commercial sites with direct product authority. Broader retailers dropped on mid-funnel product queries while ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

We propose an RL-based method to refine queries for DeepSeek code generation, learning from the results of generated code. We use a dual-model design: a learnable refiner (Qwen+LoRA) and a fixed ...

Have you ever found yourself lost in a sea of parentheses, trying to decipher a deeply nested SQL query? We've all been there. Complex data transformations often lead to code that's difficult to read, ...

Update 7/31/25 4:10pm PT: Hours after this article was published, OpenAI said it removed the feature from ChatGPT that allowed users to make their public conversations discoverable by search engines.

When working with SQL, joins are essential for combining data from multiple tables. Though you're likely familiar with the basics inner, left, right, and full joins the process of executing these ...