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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Yanbo Yang

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Book Open access Aug 2026

Distribution-Value Coevolution for Adaptive RLHF Data Scheduling

This work identifies and formalizes the Distribution-Value Coevolution principle: the training value of data is not intrinsic, but emerges dynamically from the interaction between data characteristics and the model's evolving capability boundary, and operationalizes this principle through a unified framework.

Zairun Yang, Yanbo Yang, Chenyi Zhou et al. · 0 citations
Book Open access Aug 2026

Distribution-Value Coevolution for Adaptive RLHF Data Scheduling

Reinforcement learning from human feedback (RLHF) has become the cornerstone of aligning large language models (LLMs) with human intent. Yet a fundamental question remains unaddressed: how should training data be scheduled when both the model's capabilities and the utility of data are constantly evolving? Current pipel...

Zairun Yang, Yanbo Yang, Chenyi Zhou et al. · 0 citations

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