Author

Zefang Zong

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Preprint Jul 2026

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness

DataClawEval is introduced, the first comprehensive benchmark designed specifically to evaluate the end-to-end task completion capabilities of autonomous agents in real-world data engineering scenarios, and it comprises 100 rigorous, end-to-end tasks spanning five execution engines.

Debin Meng, Jiaming Yang, Zefang Zong et al. · 0 citations

Preprint Aug 2026

Not All Problems Are Best Modeled as MILP: A DSL-Centric Framework for Flexible and Accurate Optimization Modeling

OptiDSL is proposed, a framework that shifts the focus from rigid MILP formulations to domain-specific language (DSL) representations, and enables seamless integration with a diverse library of specialized solvers, ranging from traditional heuristics to modern learning-based methods.

Shaofeng Zhang, Hongyuan Su, Qing Peng et al. · 0 citations

Review Open access Aug 2026

Reinforcement Learning in the Era of Large Language Models: Challenges and Opportunities

A systematic literature review on how RL are adapted and scaled as a fundamental post-training tools and how innovations in the RL pipeline enhance the domain-specific LLMs is conducted.

Qianyue Hao, Lin Chen, Xiaoqian Qi et al. · ACM Computing Surveys · 1 citation