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Jia-Hao Wang

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#artificial intelligence Preprint Sep 2026

xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems

Large language models (LLMs) are increasingly used for everyday assistance, yet existing benchmarks only partially reflect the requests users naturally make in practice. Real-world requests are often open-ended, casually specified, and context-dependent, requiring models not only to follow explicit instructions but als...

Yong Peng, Qing-Shui Gu, Li-Ya Zhu 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