AI RESEARCH
A Universal Avoidance Method for Diverse Multi-branch Generation
arXiv CS.LG
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ArXi:2604.17323v1 Announce Type: cross Modern generative models still lack human-level creativity, particularly in multi-branch diversity. Prior approaches to address this problem often incur heavy computation or strong dependency on model architecture. Therefore, we