arXiv · AI· Wenjie Lou, Tianshuo Peng, Shiyang Feng, Shengji Tang, Runmin Ma, Ruizhe Chen, Jinxin Shi, Haoyang Peng, Fangchen Yu, Zhijie Zhong, Yuhao Zhou, Yue Fan, Yixin Chen, Yiming Wu, Yiheng Wang, Yigeng Jiang, Yichen Jiang, Yi Xie, Xu Guo, Xiaohan He, Tao Hu, Songtao Huang, Siyu Zhou, Shuaiyu Zhang, Shangheng Du, Qinglong Cao, Kun Li, Jingqi Ye, Hongbin Zhou, Guohang Yan, Zongsheng Cao, Ziyi Wang, Zhuo Liu, Zhiyin Yu, Zhiwang Zhou, Zelin Tan, Yuqing Zhu, Yaoze Zhang, Yang Chen, Xuming He, Xiuliang Liang, Xingjian Guo, Xiang Zhuang, Weiping Shen, Weida Wang, Tianyuan Zhou, Tianlin Ye, Tengyuan Fan, Siyu Yan, Shuo Li, Shuchen Pu, Shengyuan Xu, Shao Zhang, Ran Wei, Qinyuan Qin, Qingyu Yang, Nianchen Deng, Meng Dai, Kuikun Liu, Kaitao Chen, Juncheng Xiao, Jiangning Liu, Jianbiao Mei, Jia Yu, Haonan He, Hangfan Zhang, Cheng Yang, Chen Zhang, Bihao Zhan, Benteng Cheng, Yuqiang Li, Yihao Liu, Yang Yang, Xujun Fu, Xiaosong Wang, Xiangyu Yue, Wenwei Zhang, Shuyue Hu, Pinlong Cai, Mianxin Liu, Lei Bai, Jie Zhou, Jie Hou, Jiamin Wu, Hui Wang, Haijun Li, Guangyu Wang, Dongzhan Zhou, Chunfeng Song, Chao Yang, Biqing Qi, Xing Xie, Dahua Lin, Bowen Zhou, Xiangchao Yan, Wenlong Zhang, Shufei Zhang, Peng Ye, Bo Zhang·· 4 小时前AI 评分59
Sage-A1.5：基于能力组合的长程执行与科学探索模型发布
Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
AI 导读
研究团队发布 Sage-A1.5，这是一个 35B MoE 架构的智能体模型，旨在通过自适应能力组合推进长程问题解决。相比前代 A1，Sage-A1.5 新增了代理编排、代理验证和开放科学发现三项改进：支持子代理任务委派与并行协作以分解复杂任务，通过进度检查与证据验证提升可靠性并修正策略，以及将能力延伸至探索性科学研究，生成可检查的研究工件。
来源：arXiv · AI · arxiv.org