From the source
LG AI Research reviews the WebDancer paper from
Alibaba's Tongyi Lab, which proposes enhancing long reasoning in Large Reasoning Models (LRMs) by using web search tools.
The paper introduces synthetic data generation methods CRAWLQA and E2HQA to help models learn exploration-based reasoning and knowledge supplementation via search.






