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Research Frontier

  • Jingjing Li,
  • Lei Zhu,
  • Zhekai Du

摘要

The chapter presents a series of innovative UDA algorithms and identifies key areas for future investigation, including the integration with large-scale models, expansion to new application domains, the development of richer evaluation datasets, and the need for strengthened theoretical foundations. By delineating these research frontiers, the chapter provides a roadmap for advancing UDA towards real-world applicability and robustness.