Author

Rui Ye

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Open access 2026

Bohrium + SciMaster: Building the infrastructure and ecosystem for agentic science at scale

AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning, tool use, and verification. Scaling such agentic science remains difficult because workflows are hard to observe and reproduce, many scientific tools and laboratory systems are not agent-ready, and execution trac...

Lin-Feng Zhang, Si-Heng Chen, Yu-Zhu Cai et al. · AI Plus · 0 citations

Preprint Aug 2026

SWE-Prime: Fewer Trajectories, Better Performance

To improve large language models'ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT) on successful trajectories. However, task success does not guarantee high-quality supervision: successful trajectories...

De-Wu Zheng, Rui Ye, Yanlan Wang et al. · 4 citations

Preprint Aug 2026

ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment

Answer-Backtracked Credit Assignment (ABC) is proposed, a fine-grained credit assignment framework for training long-horizon search agents by converting sparse trajectory-level outcomes into dense step-level supervision that rewards useful actions (even in failed trajectories) while suppressing erroneous or redundant a...

Yi-Jun Lu, Rui Ye, Jia-Jun Wang et al. · 1 citation