Author

Jennifer J. Sun

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Preprint Aug 2026

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. · 0 citations

Preprint Jul 2026

Co-LMLM: Continuous-Query Limited Memory Language Models

This work proposes continuous-query LMLM (CO-LMLM), where the KB pairs continuous keys with textual knowledge values, a significant departure from prior reliance on relational KB and queries, which outperforms prior LMLMs and vanilla LLMs in both perplexity and factual precision.

Yair Feldman, Lin-Xi Zhao, Nathan Godey et al. · 0 citations