Author

Yinze Ding

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Preprint Sep 2026

Learning What to Practice: Diagnosis-Guided Self-Evolution for Language Models

Self-play supports the self-evolution of language models, but solver performance can plateau or decline across rounds without guidance. Existing unguided methods typically use difficulty, learnability, or diversity signals to keep questions challenging and varied, without identifying which unresolved reasoning weakness...

Xin Wei, Yinze Ding, Fu-Cheng Xiong et al. · 1 citation

#artificial intelligence Preprint Sep 2026

DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory

DagEvo is introduced, whose diagnostician extracts recurring error causes from this history and stores them in a hierarchical error-cause memory, whose diagnostician extracts recurring error causes from this history and stores them in a hierarchical error-cause memory.

Xin Wei, Yinze Ding, Yoshua Y. Li et al. · 0 citations

Conference Open access 2026

X-Router: Decoupling Knowledge and Reasoning for Cost-Effective LLM Inference

X-R OUTER is presented, a dual-axis routing framework that separates retrieval necessity from reasoning necessity under a user-deﬁned cost–quality trade-off and reduces QA benchmarks across six QA benchmarks.

Zixuan Wang, Yinze Ding, Zihan Wang et al. · Annual Meeting of the Associ... · 0 citations