A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Siyuan Huang, Pengyu Cheng, Haotian Liu, et al.
Skill Self-Play (Skill-SP) co-evolves a proposer, solver, and skill controller via RL to reconcile structured verification with open-ended task diversity for LLM self-evolution.
Nuo Chen, Yicheng Tong, Yuzhe Yang, et al.
This paper systematically studies diversity collapse in multi-agent LLMs, showing that interaction structures, not model insufficiency, primarily cause reduced exploration diversity.
Zhi‐Hua Zhou
A comprehensive textbook covering ensemble methods including Boosting, Bagging, Random Forest, and diversity measures.
Unknown
DivPO enhances response diversity in LLMs by selecting preference pairs based on reward thresholds and diversity criteria, mitigating collapse.
Darren Edge, Ha Trinh, Newman Cheng, et al.
This paper introduces Graph RAG, a method that uses knowledge graphs to improve query-focused summarization by enhancing comprehensiveness and diversity over naive RAG.