Min Zhang

Postoperative kinesiophobia in patients undergoing video-assisted thoracoscopic lung surgery: a longitudinal study

Min Zhang, Xiaoshuang Dan, Qianqian Chen, Z Li, YJ Li

Objective To investigate the current status of postoperative kinesiophobia in patients undergoing video-assisted thoracoscopic surgery (VATS) and to identify its influencing factors. Methods A longitudinal study was conducted among patients who underwent VATS lung surgery between…Read more

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD

Dongfang Li, Xiaodong Luo, Ruoyu Sun, Xuhui Chen, Linyuan Qiu, Jian Meng, et al.

Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges for large-scale distributed training, including severe memory pressure, non-overlapped communication overhead, and inefficient kernel execution. While most large-sca…Read more

Co-Evolving LLM Evaluators and Policies via DynamicRubric

Beining Wang, Weihang Su, Hongtao Tian, Hao Kong, Tao Yang, Ting Yao, et al.

Post-training with evaluator feedback on policy-induced samples serves as a major mechanism for improving large language models. As policies improve, these sampled responses become close in quality. These close candidates create a bottleneck for policy optimization: collapsed rel…Read more

KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill

Yunxin Li, Jinchao Li, Shibo Su, Zhenran Xu, Chenrui Zhao, Tongshu Bian, et al.

OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platform GUI interaction support and a well-built self-evolution mechanism. These flaws limit its adaptation to diverse device ecosystems and prevent performance improve…Read more

Deep Proteomic Analysis With Machine Learning Identifies Aqueous Humor Biomarkers of <i>ADAMTSL4</i> -associated Congenital Ectopia Lentis

Xinyao Chen, Xin Shen, Wannan Jia, Yalei Wang, Qiuyi Huo, Yanbo Xiao, et al.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

Weiyang Guo, Zesheng Shi, Longhui Zhang, Zeen Zhu, Min Zhang, Jing Li

Large language model (LLM) agents have shown strong decision-making capabilities in long-horizon interactive tasks, yet they still struggle to effectively leverage failed trajectories: full retries incur high interaction costs, while experience retrieval tends to dilute critical…Read more

Homer: Understanding Long-form Videos with Hierarchical Memory and Agentic Reasoning

Yixin Ji, Fanghua Ye, Juntao Li, Bo Zhao, Zexuan Qiu, Zhaopeng Tu, et al.

Multimodal large language models excel on short clips but struggle on hour-long videos in an online setting, where frames are processed incrementally under limited memory. Existing online methods either retain compact visual representations that lack semantic structure, or build…Read more