Author

Wenbin Zhang

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#artificial intelligence Preprint Oct 2026

When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity

World-action models increasingly apply test-time scaling, spending extra inference computation on candidate selection and adaptive allocation to improve control. Such gains are credible only when candidates carry exploitable signal, nominal compute savings become real speedup, and evaluation stays reliable. We audit al...

Jun Liu, Da-Jie Sun, Zhenglun Kong et al. · 0 citations

Preprint Aug 2026

C2C-Explorer: An Exploration Framework for Chip-to-Chip Interconnect Architectures in LLM Cloud Computing Systems

C2C-Explorer is proposed, an adaptive Bayesian DSE framework that integrates a LLM-workload-driven traffic generator, a scalable interconnect simulator, and a metric-guided evaluator into a workload-to-hardware optimization pipeline, enabling systematic C2C architectural co-design under realistic LLM workloads.

Jia-Yi Li, Di Wu, Qingxu Li et al. · 0 citations