Author

Xiyang Wu

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Jul 2026

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

This work introduces Long-Horizon-Terminal-Bench, a terminal benchmark of 46 long-horizon tasks spanning nine categories, including experiment reproduction, software engineering, multimodal analysis, interactive games, and scientific computing, and analyzes failure modes and error patterns to support future progress on long-horizon terminal agents.

Zongxia Li, Zhongzhi Li, Yucheng Shi et al. · arXiv.org · 11 citations · ⚡2

Preprint Aug 2026

Recursive Agentic Reasoning

Analysis shows that BRANCH's advantage arises not only from exploring multiple reasoning paths, but also from recovering from truncation: its gains strongly correlate with the baseline rate of empty, budget-exhausted outputs, weakening the hypothesis that different problems require routing among test-time reasoning operators.

Sheng Zhang, Xiao-Min Wu, Xiyang Wu et al. · 0 citations