Xiaoliang Wang

Large Reasoning Models (LRMs) achieve strong performance on complex tasks through extended chains of thought but suffer from high inference latency due to autoregressive reasoning. Recent work explores using Small Reasoning Models (SRMs) to accelerate LRM inference, yet existing frameworks such a...

With the prevalence of Large Language Models (LLMs), Text-to-SQL has made significant progress, yet applying it to massive, real-world databases remains a challenge. While previous works adopt a retrieve-then-generate framework, they struggle with the profound semantic gap between user queries an...