KDD'26 Meituan Academic Paper Highlights and KDD Cup'26 DataAgents Track Champion Strategy Analysis

KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) is the most influential international top-tier academic conference in the field of data mining and knowledge discovery. Known for its rigorous paper acceptance standards and profound academic influence, KDD serves as an important platform driving data-driven research and application innovation. The conference provides a high-level forum for academia and industry to exchange cutting-edge results, with a typical paper acceptance rate of around 15%-20%, classifying it as a CCF-A top-tier conference in computer science. This article features eight papers accepted by KDD 2026 from the Meituan technology team, covering technical fields such as recommendation large models, generative and reward modeling frameworks, agent search, Transformer frameworks, and meta-generalization frameworks. 🏆 Additionally, Dianping Technology Department won first place and third place in the 2026 KDD Cup Complex Data Analysis Data Agents international competition. This article introduces the team's competition strategy and problem-solving approaches. We hope this content will be helpful or inspiring to everyone.