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Shiming Fu

As seen in: Wiley Online Library, arXiv, MDPI
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Articles by Shiming Fu

ReTerm: Recovery Training for Self-Improving Terminal Agents

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By Wei Xie, Kaituo Feng, Shiming Fu
| huggingface.co
Published on Oct 13 · Submitted by Kaituo Feng on Oct 14 Abstract Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), eventually leading to task failures. To this end, we present ReTerm, a self-improving terminal agent trained by learning how to recover from its own failed terminal tasks.
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Computer Science > Artificial Intelligence

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By Kaituo Feng, Shiming Fu, Yong Liu
| arXiv
Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), eventually leading to task failures. To this end, we present ReTerm, a self-improving terminal agent trained by learning how to recover from its own failed terminal tasks.
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A Water‐Based Adhesive Coating Enabling Clean Peeling of Paper and Polyethylene Film

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By Shiming Fu, XuYu Long, ShouTong Meng, ZeXin Dai
| Wiley Online Library Verified
Opens in a new window Opens an external website Opens an external website in a new window To improve your experience, we (and our partners) store and/or access information on your terminal (cookie or equivalent) with your consent for all our websites and applications, on your connected terminals.
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Cooperative Jamming-Based Physical-Layer Group Secret and Private Key Generation

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By Jun Yang, Yong Li, Shiming Fu
| MDPI
1. Introduction With the widespread application of wireless devices, the demand for information sharing and communication among multiple devices is increasing, making ensuring information security especially crucial. Physical layer key generation (PLKG), based on information theory, has gained extensive attention as an effective approach for safeguarding wireless communication [1,2,3,4,5,6,7,8]. Most of the existing studies focus on PLKG for two legitimate users.
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