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Zhenhong Zhou

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#artificial intelligence Preprint Sep 2026

When Reasoning Goes Astray: Attention Dynamics of Uncontrolled Reasoning

Large reasoning models (LRMs) improve performance on complex tasks through extended reasoning, yet the same process can degenerate into redundant verification and persistent generation loops. Such uncontrolled reasoning increases inference cost and creates risks of resource exhaustion and service degradation. However,...

Yuan-He Zhang, Ziwei Wang, Jie Ren 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. · 0 citations

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