Author

Chao Yin

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#artificial intelligence Preprint Oct 2026

SWE-Clar: Can Coding Agents Clarify Incomplete Client Requirements and Deliver Greenfield Software?

SWE-Clar, a benchmark grounded in real, high-value client commissions to evaluate requirement clarification and code implementation in this setting, comprises 100 tasks based on real software development jobs on Upwork, each with at least US\$4,000 in total payments.

Jia-Lei Li, Ding-Xian Wang, Xiao-Yan Zhao et al. · 0 citations

#artificial intelligence Preprint Oct 2026

RuleTrek: Benchmarking Agentic Rule Reasoning in Complex Scenarios

Large language models (LLMs) increasingly tackle complex real-world tasks in specialized domains. However, identifying and correctly applying domain-specific rules remains challenging when scenario information is distributed across multiple files. Existing rule-reasoning benchmarks typically represent scenarios using o...

Chen-Hao Yuan, Bo-Han Yu, Yin-Hao Xu et al. · 0 citations