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Tao Liu

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Preprint Sep 2026

SURE-EVAL: A Systematic and Unified Agentic Framework for Reproducible Evaluation

Audio and speech models are released rapidly, but reported scores often conflate model capability with deployment and evaluation choices. The same checkpoint can produce different predictions under different runtimes, hardware, decoding settings, or fallback policies. Even fixed predictions can receive different scores...

Jing Peng, Jun Du, Yi-Xuan Wang et al. · 0 citations
Preprint Aug 2026

StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows

This work systematically study AI products with demonstrated adoption, together with their product workflows and users, to identify real-world tasks for which AI has established practical demand across diverse professional domains and establishes StartupBench as an empirical measure of progress toward E2E completions o...

Li-Ya Zhu, Xin Ma, Tao Liu et al. · 1 citation

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