Co-Evolving Structured Knowledge and Reasoning in Language Models
Kevo is a co-evolving framework that jointly learns to construct a structured knowledge base and reason over it for knowledge-intensive question answering, which leads to larger, better-connected knowledge structures with higher answer reachability, while also improving compositional factual reasoning and controllability compared to standard retrieval baselines.
Ryan Thomas Noonan, Lin-Xi Zhao, Meng-Han Xu et al.
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