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Shuo Yang

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Articles

Computer Science > Computation and Language

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By Shuo Yang, Zhengxi Lu, fan zhang
| arxiv.org
Large language models are increasingly trained as interactive agents for long-horizon tasks involving multi-turn interaction, tool use, and environment feedback. Outcome-based reinforcement learning (RL) provides a practical optimization paradigm, but its sparse trajectory-level rewards offer limited guidance on intermediate decisions, leaving a supervision gap between episode-level outcomes and token-level policy learning.
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Correction: Economic evaluation of atezolizumab in combination with bevacizumab and chemotherapy for metastatic, persistent, or recurrent cervical cancer in China: A cost-effectiveness analysis

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By Shuo Yang, Yibing Hou, Xiaohui Wang
| PLOS ONE
There is an error in affiliation 4 for author Shuo Kang. The correct affiliation 4 is: Medical Insurance Office, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China. Reference 1. Yang S, Hou Y, Wang X, Kang S, Pan Z. Economic evaluation of atezolizumab in combination with bevacizumab and chemotherapy for metastatic, persistent, or recurrent cervical cancer in China: A cost-effectiveness analysis. PLoS One. 2026;21(6):e0351029.
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Association of early anion gap with 28-day mortality: a landmark cohort study in MIMIC-IV with multicenter validation in eICU-CRD

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By Shuo Yang, Zhihao Ren, Yiran Li, Zihang Zhao, Changsheng Sun, Lin Liu, Lin Jin, TAO WANG, Zhiyong Hou
| Nature Verified
Abstract Early laboratory measures in ICU studies are often defined over a post-admission window while follow-up starts at ICU admission, which can introduce time-window and immortal time bias. We evaluated the association between early anion gap (AG) and 28-day mortality using prespecified landmark analyses with external validation. We analyzed adult first ICU stays in MIMIC-IV (derivation) and eICU-CRD (external validation).
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