IEEE

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation

Abstract: Recent research in Text-to-SQL translation has primarily adopted in-context learning methods leveraging large language models (LLMs), achieving significant progress. However, these methods ...
Orlando Sentinel

Commentary: Schools should learn from Indian River’s example

When Indian River County set our bold Moonshot Goal — 90% of students reading on grade level by the end of third grade — we knew it would take more than business as usual for us to have a chance. We ...
Geeky Gadgets

Is the AI Bubble Real, or Is Relentless Learning Quietly Winning Today?

What if the so-called “AI bubble” isn’t a bubble at all? Imagine a world where artificial intelligence doesn’t just plateau or implode under the weight of its own hype but instead grows smarter, more ...
Forbes

Leadership Gone Wrong: What We Can Learn From Bad Leadership

Leadership, both an art and a science, is rarely perfect in practice. When leadership goes wrong, we can also learn lessons from negative situations. As Adam Grant said in his “America Is Learning The ...
marktechpost

SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
IEEE

SQL-Net: Semantic Query Learning for Point-Supervised Temporal Action Localization

Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn ...