arXiv AI By 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

Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition

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arXiv AI
Jun 12

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales

arXiv:2606. 12736v1 Announce Type: new Abstract: AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in real research settings remain poorly understood.

By Tianyu Liu, Allen Xin Wang, Antonia Panescu, Lisa Xinyi Chen, Wenxin Long, Xinyu Wei, Yueqian Jing, Ziyao Zeng, Jihang Chen, Sihan Jiang, Ziqing Wang, Siyi Gu, Siyu Chen, Xinyang Hu, Haoran Shao, Leqi Xu, Wangjie Zheng, Zhiyuan Cao, Ada Fang, Botao Yu, Kunyang Sun, Rex Ying, Arman Cohan, Qingyu Chen, Lingzhou Xue, Kaize Ding, Yuanqi Du, Wengong Jin, Zhuoran Yang, Marinka Zitnik, James Zou, Hua Xu, Hongyu Zhao
arXiv Computation and Language
Oct 9

SAIL: Scientific Agentic Intelligence via a Science-Aware Loop

SAIL is an open model with 35 B total and 3 B active parameters designed for literature research, scientific coding, and multi‑step research workflows. It is developed through a science‑aware improvement loop in which agents built on frontier AI models analyze task failures, create training tasks to address capability gaps, and iterate this process across multiple development cycles. The training pipeline combines supervised fine‑tuning, specialist training, multi‑teacher on‑policy distillation, and agentic reinforcement learning, enabling SAIL to achieve competitive performance on scientific research tasks with fewer parameters than leading open‑weight models.

By SAIL Model Team, Boyuan Sun, Bryan Dai, Che Liu, Chi Liu, Derek Li, Hongming Piao, Mengzhuo Chen, Xidong Wang, Yan Shu, Yinda Chen, Ziyang Zeng
arXiv Computation and Language
3d ago

SCI-AGENT-EXAM: Benchmarking Agents on Scientific Research Tasks

arXiv:2610.32441v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly capable of supporting scientific workflows, but their capabilities across diverse research activitie...

By Tianyun Zhong, Wei Wang, Jialin Li, Jianhong Tu, Liyao Li, Chuqiao Kuang, Tianshi Zheng, Songchi Zhou, Weiqi Zhai, Qile Jin, Jiajia Li, Jiasheng Zheng, Boxi Cao, Yaojie Lu, Hongyu Lin, Shiwei Ye, Bing Zhao, Hu Wei, Lin Qu, Xianpei Han
arXiv AI
Jul 14

FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights

arXiv:2602. 02905v2 Announce Type: replace Abstract: Autonomous agents powered by large language models (LLMs) promise to accelerate scientific discovery end-to-end, but rigorously evaluating their capacity for verifiable discovery remains a central challenge.

By Zhen Wang, Fan Bai, Zhongyan Luo, Jinyan Su, Kaiser Sun, Xinle Yu, Jieyuan Liu, Kun Zhou, Claire Cardie, Mark Dredze, Zhiting Hu, Eric P. Xing