Author

Liang Jiang

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Preprint Sep 2026

Doing More with Less Tokens: Hierarchical Reinforcement Learning for Efficient Coding Agents

Recently, coding agents have emerged as a dominant paradigm for real-world software engineering (SWE) scenarios, which solve complex tasks through multi-turn interactions with development environments. However, frequent interactions with environments would inevitably introduce substantial token overhead, leading to hig...

Hao-Bin Li, Liang Jiang, Zhen-Yu Huang et al. · 0 citations

Preprint Aug 2026

Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports

This work proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework, facilitating comprehensive evaluation of proactive bug-fixing capability, and proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework.

Hao-Bin Li, Ping Deng, Weizhong Qian et al. · 0 citations