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home / papers / 2026 / DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

Paper · 2026 · DeepSeek-AI, Anyi Xu, B. Li et al.

Summary

Long-running AI agents mostly consume input tokens. As a result, serving cost now depends less on attention compute and more on the size of key-value (KV) caches. These caches must fit in HBM, be kept on SSD or host memory for prefix reuse, and be moved over limited bandwidth. DeepSeek-AI presents DeepSeek-V4.1-Flash, a multimodal MoE model with 552B backbone parameters and up to 1M-token context, designed to shrink these caches aggressively. Its Causal Encoder-Decoder (CED) design builds the decoder's global KV from the final encoder states, so prefill activates only 8B parameters versus 16B during decoding. Compressed Sparse Attention 2 (CSA2) replaces the earlier CSA–HCA hybrid. It lets layers share global KV and Top-K indices through three fixed modes (Full, Reindex, Reuse), and caches are stored in FP4. A serving technique, SWA Bounded Replay, approximately rebuilds sliding-window state from only the latest window of tokens. The model was pretrained on 45T multimodal tokens and beats DeepSeek-V4-Flash despite much smaller caches, which cuts the cost of deploying long-context agents.

Key points

  • The global KV cache takes 890 bytes per token, about 4× less than DeepSeek-V4-Flash and roughly 437× less than DeepSeek-V1. SWA Bounded Replay avoids writing SWA KV to SSD, which cuts persistent cache storage to about 1/8 of V4-Flash.
  • Per-token decode FLOPs stay almost flat with context length: a 256× longer context (4K → 1M) raises them by only about 25%.
  • Additional components include Single-Pass mHC, whose Mega-mHC kernel halves activation memory traffic, the Engram conditional memory module, and DSpark speculative decoding.
  • In preliminary multi-agent tests, ProgramBench (172 "golden" tasks) Almost@1 peaks at 30.04% versus 20.39% for single-agent. On FrontierSWE v2, Mean@5 reaches 32.90% versus 28.20% at a 20-hour deadline.
  • Checkpoints are released as deepseek-ai/DeepSeek-V4.1-Flash on Hugging Face. The authors name two risks: CSA2 index-selection errors and the approximate SWA reconstruction could degrade quality in untested edge cases. They also report a remaining gap to closed models such as GPT-6 Astra on the hardest tasks.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

 Fields, topics and concepts

Cite

Cite as DeepSeek-AI, Anyi Xu, B. Li, Bangcai Lin, Bing Xue, BingCheng Xian, Bingzheng Xu, Bochao Wu, Bowei Zhang, Boyi Deng, C.C. Yu, Chao Jin, Chaofan Lin, Chen Dong, Chenbing Wang, Chenfan Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chengyuan Zhang, Chenhao Xu, Chenqi Zhao, Chenze Shao, Chuhao Wang, Chuqi Zhang, Damai Dai, Dejian Yang, Deli Chen, Di Huang, Di Wu, Donghao Li, Erhang Li, Eric Fu, F. Zhou, Fangwei Zhou, Fangyun Lin, Fangzhou Yuan, Feiyu Xia, Fucong Dai, Guangbo Hao, Guanglin Li, Guanting Chen, Guoai Cao, Guofan Fan, Guolai Meng, Guowei Li, Haichuan Zhang, Haiyang Ma, Haiyang Shen, Han Li, Han Yu, Han Zhang, Hangyuan Deng, Hanwei Xu, Hanxiang Xu, Hanxun Zhong, Hao Guo, Hao Jiang, Hao Li, Hao Qin, Haodong Wen, Haofen Liang, Haofeng Huang, Haohua Liu, Haoling Zhang, Haoming Luo, Haoran Yang, Haotian Xu, Haotian Yuan, Haoting Huang, Haowen Luo, Haoyang Cai, Haoyu Chen, Haozhe Ji, Hengran Zhang, Hengrui Wang, Hengxu Wu, Honghui Ding, Hongxuan Tang, Huadong Wang, Huanqi Cao, Huazuo Gao, Hui Qu, Hui Zeng, J. Yang, J.H. Jin, J.H. Zhang, J.X. Zou, Jia Yu, Jiahui Zhou, Jiajun Chen, Jialiang Huang, Jialin Zhao, Jiamin Tang, Jian Zhou, Jianan Tong, Jianwen Li, Jiaqi Zhu, Jiarui Wang, Jiasheng Ye, Jiashi Li, Jiaxin Xu, Jiaying Ding, Jibai Lu, Jiewen Hu, Jin Yan, Jincheng Zhai, Jingchang Chen, Jingcheng Hu, Jingli Zhou, Jingsheng Xu, Jingting Xiang, Jingyan Yun, Jingyang Yuan, Jingyuan Cheng, Jinhua Zhu, Jinpeng Wang, Jinyi Chen, Jinyi Hu, Jiping Yu, Jueliang Guo, Junbo Pei, Junbo Sun, Junguang Jiang, Junjie Qiu, Junkang Zhou, Junqi Liu, Junren Li, Junxian Li, Junxiao Song, Junyi Guo, Kai Dong, Kaifeng Chen, Kaige Gao, Kang Guan, Kangdong Yuan, Ke Hong, Ke Xu, Kefan Zhao, Kexin Ji, Kexin Zhang, Kexing Zhou, Kuai Yu, Lan Zhang, Lean Wang, Lecong Zhang, Lei Wang, Letian Gao, Liang Zhao, Liansheng Xu, Lihua Guo, Lingxiao Luo, Lingyue Fu, Litao Deng, Litong Wang, Liyue Zhang, Longhao Chen, Lu Chen, Luotian Huang, Luyao Ma, Luyao Wang, M.S. Di, Max Mei, Menghao Ye, Miao Cui, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingjing Zhang, Mingqi Wei, Mingshu Chen, Mingxing Liu, Mingxu Zhou, Mingyu Xu, Mingyu Yang, Mingze Wang, Muyang Chen, Ni Shentu, Ning Wang, Niufang Ning, Panpan Huang, Peixin Cong, Peiyi Wang, Peiyuan Xin, Pengfei Ren, Pengfei Yan, Pengle Zhang, Qi Kang, Qi Tang, Qiancheng Wang, Qiang Li, Qihao Zhu, Qingyang Li, Qinyu Chen, Qiushi Du, Qizhou Guo, Rongxian Xu, Rui Ding, Rui Hu, Rui Tian, Rui Yu, Ruidong Zhu, Ruifan Xu, Ruihan Yang, Ruihang Xia, Ruijie Lu, Ruilin Geng, Ruipeng Hong, Ruiqi Ge, Ruisong Zhang, Ruize Sun, Ruizhe Pan, Runji Wang, Runqian Chen, Runxin Xu, Ruohong Tian, Ruomeng Shen, Ruoyu Zhang, Ryan X., S.H. Liu, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaofei Cai, Shaoheng Nie, Shaoyuan Chen, Shengding Hu, Shengkai Lin, Shengwen Ran, Shengyu Liu, Shengyuan Jia, Shi Bai, Shi Feng, Shicheng Xu, Shichun Liu, Shiqiang Hu, Shirong Ma, Shiyu Wang, Shiyuan Feng, Shufan Gong, Shuhan Lin, Shuiping Yu, Shunfeng Zhou, Shuo Yang, Shuomeng Wang, Shuting Guo, Shuting Pan, Shuying Yu, Sinuo Cao, Siyi Lin, Sizhe Chen, Songyang Chen, Songyang Zhou, Tao Ni, Tao Yun, Tian Jin, Tian Pei, Tian Ye, Tianle Lin, Tianran Ji, Tianyi Cui, Tianyuan Yue, Tingting Yu, Tongrui Xiong, Wangding Zeng, Wei Liu, Wei Zhang, Weibin Xu, Weihao Zeng, Weilin Zhao, Wen Liu, Wenfeng Liang, Wenjie Pang, Wenjing Luo, Wenjing Yao, Wenjun Gao, Wenkai Shao, Wenkai Yang, Wenli Zhang, Wenlu Wang, Wenlve Huang, Wenqian Yan, Wentao Zhang, Xi Gao, Xiang He, Xiang Li, Xiangli Li, Xiangwen Wang, Xiangying Zhang, Xiankui Wei, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojian Qu, Xiaokang Chen, Xiaokang Zhang, Xiaotao Nie, Xiaoyao Zou, Xiaoyuan Li, Xicheng Guo, Xieting Chu, Xin Cheng, Xin Liu, Xin Xie, Xinbo Xu, Xingchao Liu, Xingchen Liu, Xingkai Yu, Xingyou Li, Xintong Yao, Xinyang Chen, Xinyong Jiang, Xinyu Yang, Xinyu Yang, Xu Chen, Xuanyu Wang, Xubei Zhong, Xuecheng Su, Xuejie Liu, Xuheng Lin, Xujie Fan, Xuncheng Zhao, Xuwei Fu, Y.C. Yan, Y.H. Jiang, Y.T. Wu, Y.W. M., Y.Z. Wang, Yafei Gao, Yang Yang, Yang Zhang, Yanru Ma, Yanwen Huang, Yao Li, Yao Li, Yao Meng, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yaoyang Ye, Yehang Yin, Yexinrui Wu, Yi Qian, Yi Tao, Yi Yu, Yichao Zhang, Yichen Jiang, Yicheng Wang, Yifan Ding, Yifan Shi, Yifeng Peng, Yifeng Zhai, Yijia Wu, Yiliang Xiong, Yilun Wang, Ying He, Ying Zhou, Yingjia Luo, Yinmin Zhong, Yiping Wang, Yisong Wang, Yixiang Zhang, Yixiao Chen, Yixuan Tan, Yixuan Wei, Yiyang Ma, Yiyao Yang, Yiyuan Liu, Yizai Cai, Yizhen Wei, Yizhi Wang, Yonglun Yang, Yongqi Zhuo, Yongqiang Guo, Yongtong Wu, Yu Wu, Yu Zhang, Yuan Bian, Yuan Cheng, Yuan Ou, Yuan Sun, Yuanfan Xu, Yuanhang Sun, Yuanhao Li, Yuchen Liu, Yuchen Yao, Yudong Han, Yuduan Wang, Yuhan Wu, Yuhao Meng, Yuheng Zou, YuKun Li, Yunchuan Wang, Yunfan Xiao, Yunfan Xiong, Yupeng Chen, Yuqian Cao, Yuqian Wang, Yuqing Chen, Yushun Zhang, Yutong Lin, Yuwei Xiao, Yuxian Gu, Yuxiang Chen, Yuxiang Huang, Yuxiang Luo, Yuxiang You, Yuxin Chen, Yuxin Xiang, Yuxuan Liu, Yuxuan Zhou, Yuyang Zhou, Yuzhe Guo, Yuzhen Huang, Yuzhuo Bai, Z.Y. Z., Zanlin Ni, Zehao Wang, Zehua Zhao, Zehui Ren, Zejun Zhao, Zhangli Sha, Zhanying Wang, Zhaochen Zhang, Zhaoshuai Du, Zhe Fu, Zhean Xu, Zhenda Xie, Zheng Liu, Zhengyan Zhang, Zhenhua Dong, Zhewen Hao, Zhibang Wang, Zhibin Gou, Zhicheng Ma, Zhihao Li, Zhihong Shao, Zhihuan Huang, Zhijie Li, Zhirui Lu, Zhixian Huang, Zhixuan Chen, Zhixuan Chen, Zhixuan Pan, Zhiyu Wu, Zhizhou Ren, Zhu He, Zhuoshu Li, Zhuping Zhang, Zian Xu, Zihao Wang, Zihui Gu, Zijia Zhu, Zili Zhang, Zilin Li, Zilong Hou, Zilong Lyu, Ziqiao Wang, Ziwei Xie, Ziya Zhang, Ziyi Gao, Zizheng Pan, Zonglin Li, Zongqing Yao, Zui Chen, Zuofan Wu, Chenchen Ling, Chengyu Hou, Chong Chen, D. Li, Di Qi, Dongjie Ji, Fang Wei, Fanyi Xia, Fei Xie, Feiyi Tan, Hailong Guo, Haiyan Zhai, Hui Zhou, Huihui Tan, Huijie Li, Jia Luo, Jia Song, Jialu Cai, Jian Liang, Jiangting Zhou, Jiaqi Gao, Jiayi Shao, Jie Chen, Jieyu Yang, Jin Chen, Jingde Zhang, Jingzi Zhou, Jinqian Wang, Jinyang Liu, JinZhao Sun, Junhua Ling, Junmin Zheng, Kaicheng Yang, Ke Xu, Le Su, Leyi Xia, Liangfeng Ding, Lin Zhuo, Linwang Ma, Linyan Zhu, Liyu Cai, Luqi Yao, M.K. Zhang, Meng Li, Miao Lin, Miaojun Wang, Min Zhang, Mingming Li, Mingming Wang, Mingze Yin, Minmin Han, Nan Cao, Ning Wang, Ningxin Ma, Panpan Wang, Peihan Lin, Peng Sun, Peng Zhang, Qian Ying, Qiang Xiang, Qiao Wang, Qingmiao Mao, Qiwei Jiang, Rongli Jin, Ruyi Chen, Sha Tao, Shangmian Sun, Shaoqing Wu, Shichao Zou, Si Lei, Tianyang Zhang, Tianyu Sun, Tingting Yin, W.L. Xiao, Wei An, Wei Li, Wei Wang, Weiwei Lin, Wenqing Hou, X. Lin, Xiangfei Meng, Xianzhu Huang, Xiao Peng, Xiaoqian Li, Xiaoting Zhang, Xiaowen Sun, Xiaoxiang Wang, Xiaoyu Ye, Xinrou Zhang, Xinyu Zhang, Xue Cao, Xueyin Chen, Yanan Zhou, Yanhong Xu, Yao Xia, Yao Xu, Yi Shao, Yihong Zhang, Yiling Ma, Ying Tang, Yining Lou, Yiru Chen, Yishi Piao, Yixuan Chen, Yong Xiong, Yuchen Xuan, Yuehan Yang, Yuer Xu, Yukun Zha, Yunxian Ma, Yuping Lin, Yuting Yan, Yutong Xie, Yuwen Sheng, Yuxuan Zhu, Zekai Zhang, Zhe Ju, Zhenzhen Lin, Zheren Gao, Zheyang Sun, Zhigang Yan, Zhongyu Wu, Zi Wang, Zihua Qu, Ziling Yan and Ziyi Wan. 2026. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression. arXiv:2609.19969.

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.48550/arxiv.2609.19969 · arXiv 2609.19969

@misc{deepseekai2026deepseek,
  title = {{DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression}},
  author = {DeepSeek-AI, Anyi Xu, B. Li, Bangcai Lin, Bing Xue, BingCheng Xian, Bingzheng Xu, Bochao Wu, Bowei Zhang, Boyi Deng, C.C. Yu, Chao Jin, Chaofan Lin, Chen Dong, Chenbing Wang, Chenfan Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chengyuan Zhang, Chenhao Xu, Chenqi Zhao, Chenze Shao, Chuhao Wang, Chuqi Zhang, Damai Dai, Dejian Yang, Deli Chen, Di Huang, Di Wu, Donghao Li, Erhang Li, Eric Fu, F. Zhou, Fangwei Zhou, Fangyun Lin, Fangzhou Yuan, Feiyu Xia, Fucong Dai, Guangbo Hao, Guanglin Li, Guanting Chen, Guoai Cao, Guofan Fan, Guolai Meng, Guowei Li, Haichuan Zhang, Haiyang Ma, Haiyang Shen, Han Li, Han Yu, Han Zhang, Hangyuan Deng, Hanwei Xu, Hanxiang Xu, Hanxun Zhong, Hao Guo, Hao Jiang, Hao Li, Hao Qin, Haodong Wen, Haofen Liang, Haofeng Huang, Haohua Liu, Haoling Zhang, Haoming Luo, Haoran Yang, Haotian Xu, Haotian Yuan, Haoting Huang, Haowen Luo, Haoyang Cai, Haoyu Chen, Haozhe Ji, Hengran Zhang, Hengrui Wang, Hengxu Wu, Honghui Ding, Hongxuan Tang, Huadong Wang, Huanqi Cao, Huazuo Gao, Hui Qu, Hui Zeng, J. Yang, J.H. Jin, J.H. Zhang, J.X. Zou, Jia Yu, Jiahui Zhou, Jiajun Chen, Jialiang Huang, Jialin Zhao, Jiamin Tang, Jian Zhou, Jianan Tong, Jianwen Li, Jiaqi Zhu, Jiarui Wang, Jiasheng Ye, Jiashi Li, Jiaxin Xu, Jiaying Ding, Jibai Lu, Jiewen Hu, Jin Yan, Jincheng Zhai, Jingchang Chen, Jingcheng Hu, Jingli Zhou, Jingsheng Xu, Jingting Xiang, Jingyan Yun, Jingyang Yuan, Jingyuan Cheng, Jinhua Zhu, Jinpeng Wang, Jinyi Chen, Jinyi Hu, Jiping Yu, Jueliang Guo, Junbo Pei, Junbo Sun, Junguang Jiang, Junjie Qiu, Junkang Zhou, Junqi Liu, Junren Li, Junxian Li, Junxiao Song, Junyi Guo, Kai Dong, Kaifeng Chen, Kaige Gao, Kang Guan, Kangdong Yuan, Ke Hong, Ke Xu, Kefan Zhao, Kexin Ji, Kexin Zhang, Kexing Zhou, Kuai Yu, Lan Zhang, Lean Wang, Lecong Zhang, Lei Wang, Letian Gao, Liang Zhao, Liansheng Xu, Lihua Guo, Lingxiao Luo, Lingyue Fu, Litao Deng, Litong Wang, Liyue Zhang, Longhao Chen, Lu Chen, Luotian Huang, Luyao Ma, Luyao Wang, M.S. Di, Max Mei, Menghao Ye, Miao Cui, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingjing Zhang, Mingqi Wei, Mingshu Chen, Mingxing Liu, Mingxu Zhou, Mingyu Xu, Mingyu Yang, Mingze Wang, Muyang Chen, Ni Shentu, Ning Wang, Niufang Ning, Panpan Huang, Peixin Cong, Peiyi Wang, Peiyuan Xin, Pengfei Ren, Pengfei Yan, Pengle Zhang, Qi Kang, Qi Tang, Qiancheng Wang, Qiang Li, Qihao Zhu, Qingyang Li, Qinyu Chen, Qiushi Du, Qizhou Guo, Rongxian Xu, Rui Ding, Rui Hu, Rui Tian, Rui Yu, Ruidong Zhu, Ruifan Xu, Ruihan Yang, Ruihang Xia, Ruijie Lu, Ruilin Geng, Ruipeng Hong, Ruiqi Ge, Ruisong Zhang, Ruize Sun, Ruizhe Pan, Runji Wang, Runqian Chen, Runxin Xu, Ruohong Tian, Ruomeng Shen, Ruoyu Zhang, Ryan X., S.H. Liu, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaofei Cai, Shaoheng Nie, Shaoyuan Chen, Shengding Hu, Shengkai Lin, Shengwen Ran, Shengyu Liu, Shengyuan Jia, Shi Bai, Shi Feng, Shicheng Xu, Shichun Liu, Shiqiang Hu, Shirong Ma, Shiyu Wang, Shiyuan Feng, Shufan Gong, Shuhan Lin, Shuiping Yu, Shunfeng Zhou, Shuo Yang, Shuomeng Wang, Shuting Guo, Shuting Pan, Shuying Yu, Sinuo Cao, Siyi Lin, Sizhe Chen, Songyang Chen, Songyang Zhou, Tao Ni, Tao Yun, Tian Jin, Tian Pei, Tian Ye, Tianle Lin, Tianran Ji, Tianyi Cui, Tianyuan Yue, Tingting Yu, Tongrui Xiong, Wangding Zeng, Wei Liu, Wei Zhang, Weibin Xu, Weihao Zeng, Weilin Zhao, Wen Liu, Wenfeng Liang, Wenjie Pang, Wenjing Luo, Wenjing Yao, Wenjun Gao, Wenkai Shao, Wenkai Yang, Wenli Zhang, Wenlu Wang, Wenlve Huang, Wenqian Yan, Wentao Zhang, Xi Gao, Xiang He, Xiang Li, Xiangli Li, Xiangwen Wang, Xiangying Zhang, Xiankui Wei, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojian Qu, Xiaokang Chen, Xiaokang Zhang, Xiaotao Nie, Xiaoyao Zou, Xiaoyuan Li, Xicheng Guo, Xieting Chu, Xin Cheng, Xin Liu, Xin Xie, Xinbo Xu, Xingchao Liu, Xingchen Liu, Xingkai Yu, Xingyou Li, Xintong Yao, Xinyang Chen, Xinyong Jiang, Xinyu Yang, Xinyu Yang, Xu Chen, Xuanyu Wang, Xubei Zhong, Xuecheng Su, Xuejie Liu, Xuheng Lin, Xujie Fan, Xuncheng Zhao, Xuwei Fu, Y.C. Yan, Y.H. Jiang, Y.T. Wu, Y.W. M., Y.Z. Wang, Yafei Gao, Yang Yang, Yang Zhang, Yanru Ma, Yanwen Huang, Yao Li, Yao Li, Yao Meng, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yaoyang Ye, Yehang Yin, Yexinrui Wu, Yi Qian, Yi Tao, Yi Yu, Yichao Zhang, Yichen Jiang, Yicheng Wang, Yifan Ding, Yifan Shi, Yifeng Peng, Yifeng Zhai, Yijia Wu, Yiliang Xiong, Yilun Wang, Ying He, Ying Zhou, Yingjia Luo, Yinmin Zhong, Yiping Wang, Yisong Wang, Yixiang Zhang, Yixiao Chen, Yixuan Tan, Yixuan Wei, Yiyang Ma, Yiyao Yang, Yiyuan Liu, Yizai Cai, Yizhen Wei, Yizhi Wang, Yonglun Yang, Yongqi Zhuo, Yongqiang Guo, Yongtong Wu, Yu Wu, Yu Zhang, Yuan Bian, Yuan Cheng, Yuan Ou, Yuan Sun, Yuanfan Xu, Yuanhang Sun, Yuanhao Li, Yuchen Liu, Yuchen Yao, Yudong Han, Yuduan Wang, Yuhan Wu, Yuhao Meng, Yuheng Zou, YuKun Li, Yunchuan Wang, Yunfan Xiao, Yunfan Xiong, Yupeng Chen, Yuqian Cao, Yuqian Wang, Yuqing Chen, Yushun Zhang, Yutong Lin, Yuwei Xiao, Yuxian Gu, Yuxiang Chen, Yuxiang Huang, Yuxiang Luo, Yuxiang You, Yuxin Chen, Yuxin Xiang, Yuxuan Liu, Yuxuan Zhou, Yuyang Zhou, Yuzhe Guo, Yuzhen Huang, Yuzhuo Bai, Z.Y. Z., Zanlin Ni, Zehao Wang, Zehua Zhao, Zehui Ren, Zejun Zhao, Zhangli Sha, Zhanying Wang, Zhaochen Zhang, Zhaoshuai Du, Zhe Fu, Zhean Xu, Zhenda Xie, Zheng Liu, Zhengyan Zhang, Zhenhua Dong, Zhewen Hao, Zhibang Wang, Zhibin Gou, Zhicheng Ma, Zhihao Li, Zhihong Shao, Zhihuan Huang, Zhijie Li, Zhirui Lu, Zhixian Huang, Zhixuan Chen, Zhixuan Chen, Zhixuan Pan, Zhiyu Wu, Zhizhou Ren, Zhu He, Zhuoshu Li, Zhuping Zhang, Zian Xu, Zihao Wang, Zihui Gu, Zijia Zhu, Zili Zhang, Zilin Li, Zilong Hou, Zilong Lyu, Ziqiao Wang, Ziwei Xie, Ziya Zhang, Ziyi Gao, Zizheng Pan, Zonglin Li, Zongqing Yao, Zui Chen, Zuofan Wu, Chenchen Ling, Chengyu Hou, Chong Chen, D. Li, Di Qi, Dongjie Ji, Fang Wei, Fanyi Xia, Fei Xie, Feiyi Tan, Hailong Guo, Haiyan Zhai, Hui Zhou, Huihui Tan, Huijie Li, Jia Luo, Jia Song, Jialu Cai, Jian Liang, Jiangting Zhou, Jiaqi Gao, Jiayi Shao, Jie Chen, Jieyu Yang, Jin Chen, Jingde Zhang, Jingzi Zhou, Jinqian Wang, Jinyang Liu, JinZhao Sun, Junhua Ling, Junmin Zheng, Kaicheng Yang, Ke Xu, Le Su, Leyi Xia, Liangfeng Ding, Lin Zhuo, Linwang Ma, Linyan Zhu, Liyu Cai, Luqi Yao, M.K. Zhang, Meng Li, Miao Lin, Miaojun Wang, Min Zhang, Mingming Li, Mingming Wang, Mingze Yin, Minmin Han, Nan Cao, Ning Wang, Ningxin Ma, Panpan Wang, Peihan Lin, Peng Sun, Peng Zhang, Qian Ying, Qiang Xiang, Qiao Wang, Qingmiao Mao, Qiwei Jiang, Rongli Jin, Ruyi Chen, Sha Tao, Shangmian Sun, Shaoqing Wu, Shichao Zou, Si Lei, Tianyang Zhang, Tianyu Sun, Tingting Yin, W.L. Xiao, Wei An, Wei Li, Wei Wang, Weiwei Lin, Wenqing Hou, X. Lin, Xiangfei Meng, Xianzhu Huang, Xiao Peng, Xiaoqian Li, Xiaoting Zhang, Xiaowen Sun, Xiaoxiang Wang, Xiaoyu Ye, Xinrou Zhang, Xinyu Zhang, Xue Cao, Xueyin Chen, Yanan Zhou, Yanhong Xu, Yao Xia, Yao Xu, Yi Shao, Yihong Zhang, Yiling Ma, Ying Tang, Yining Lou, Yiru Chen, Yishi Piao, Yixuan Chen, Yong Xiong, Yuchen Xuan, Yuehan Yang, Yuer Xu, Yukun Zha, Yunxian Ma, Yuping Lin, Yuting Yan, Yutong Xie, Yuwen Sheng, Yuxuan Zhu, Zekai Zhang, Zhe Ju, Zhenzhen Lin, Zheren Gao, Zheyang Sun, Zhigang Yan, Zhongyu Wu, Zi Wang, Zihua Qu, Ziling Yan and Ziyi Wan},
  year = {2026},
  doi = {10.48550/arxiv.2609.19969},
  eprint = {2609.19969},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2609.19969}
}

References

101 references, 31 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. J. Ainslie, J. Lee-Thorp, M. de Jong, Y. Zemlyanskiy, F. Lebrón, and S. Sanghai. Gqa: Training generalized multi-query transformer models from multi-head checkpoints. arXiv preprint arXiv:2305.13245, 2023.
  2. E. Alvarez, O. Almog, E. Chung, S. Layton, D. Stosic, R. Krashinsky, and K. Aubrey. Introducing nvfp4 for efficient and accurate low-precision inference, 2025. URL https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-pre cision-inference/ . ↗
  3. Anomaly. Opencode. https://github.com/anomalyco/opencode , 2026. ↗
  4. Anthropic. Claude code. https://code.claude.com/docs/en/overview , 2026. ↗
  5. Y. Bai, S. Tu, J. Zhang, H. Peng, X. Wang, X. Lv, S. Cao, J. Xu, L. Hou, Y. Dong, et al. Longbench v2: Towards deeper understanding and reasoning on realistic long-context multitasks. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),…
  6. Y. Bai, Q. Dong, T. Jiang, X. Lv, Z. Du, A. Zeng, J. Tang, and J. Li. Indexcache: Accelerating sparse attention via cross-layer index reuse. arXiv preprint arXiv:2603.12201, 2026. — [arXiv:2603.12201](https://arxiv.org/abs/2603.12201) find
  7. W. Brandon, M. Mishra, A. Nrusimha, R. Panda, and J. Ragan-Kelley. Reducing transformer key-value cache size with cross-layer attention. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, and C. Zhang, editors, Advances in Neural Information Processing Systems, volume 37, pages… find
  8. L. Chen, D. Xu, C. An, X. Wang, Y. Zhang, J. Chen, Z. Liang, F. Wei, J. Liang, Y. Xiao, et al. Powerattention: exponentially scaling of receptive fields for effective sparse attention. arXiv preprint arXiv:2503.03588, 2025. — [arXiv:2503.03588](https://arxiv.org/abs/2503.03588) find
  9. L. Chen, W. Xie, Y. Liang, H. He, H. Zhao, Z. Yang, Z. Huang, H. Wu, H. Lu, Y. Bao, et al. Babyvision: Visual reasoning beyond language. arXiv preprint arXiv:2601.06521, 2026. — [arXiv:2601.06521](https://arxiv.org/abs/2601.06521) find
  10. M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. de Oliveira Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, A. Ray, R. Puri, G. Krueger, M. Petrov, H. Khlaaf, G. Sastry, P. Mishkin, B. Chan, S. Gray, N. Ryder, M. Pavlov, A. Power, L. Kaiser, M. Bavarian, C. Winter, P. Tillet, F. P. Such,… — Evaluating Large Language Models Trained on Code
  11. X. Cheng, X. Yu, C. Shao, J. Li, Y. Xiong, Y. Qian, J. Zhu, S. Ma, X. Zhang, J. Ye, et al. Dspark: Confidence-scheduled speculative decoding with semi-autoregressive generation. arXiv preprint arXiv:2607.05147, 2026a. — [arXiv:2607.05147](https://arxiv.org/abs/2607.05147) find
  12. X. Cheng, W. Zeng, D. Dai, Q. Chen, B. Wang, Z. Xie, K. Huang, X. Yu, Z. Hao, Y. Li, H. Zhang, H. Zhang, D. Zhao, and W. Liang. Conditional memory via scalable lookup: A new axis of sparsity for large language models. CoRR, abs/2601.07372, 2026b. doi: 10.48550/ARXIV.2601.07372. URL https://doi.org/1… find
  13. X. Cheng, W. Zeng, D. Dai, Q. Chen, B. Wang, Z. Xie, K. Huang, X. Yu, Z. Hao, H. Zhang, et al. Conditional memory via scalable lookup: A new axis of sparsity for large language models. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),… find
  14. K. Cobbe, V. Kosaraju, M. Bavarian, M. Chen, H. Jun, L. Kaiser, M. Plappert, J. Tworek, J. Hilton, R. Nakano, et al. Training verifiers to solve math word problems. arXiv preprint arXiv:2110.14168, 2021.
  15. D. Dai, C. Deng, C. Zhao, R. X. Xu, H. Gao, D. Chen, J. Li, W. Zeng, X. Yu, Y. Wu, Z. Xie, Y. K. Li, P. Huang, F. Luo, C. Ruan, Z. Sui, and W. Liang. Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models. CoRR, abs/2401.06066, 2024. URL https://doi.org/10.48550/ar… ↗
  16. DataCurve. Deepswe v1.1, 2026. URL https://deepswe.datacurve.ai/ . ↗
  17. DeepSeek-AI. Deepseek-v3 technical report. CoRR, abs/2412.19437, 2024. URL https://doi.org/10.48550/arXiv.2412.19437 . ↗
  18. DeepSeek-AI. Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model. CoRR, abs/2405.04434, 2024. URL https://doi.org/10.48550/arXiv.2405.04 434 . ↗
  19. DeepSeek-AI. Deepseek-v3.2: Pushing the frontier of open large language models, 2025. URL https://arxiv.org/abs/2512.02556 . ↗
  20. DeepSeek-AI. Deepseek harness: Everything is a plugin. https://github.com/deepseek-a i/deepseek-harness , 2026a. ↗
  21. DeepSeek-AI. Deepseek-v4: Towards highly efficient million-token context intelligence. CoRR, abs/2606.19348, 2026b. URL https://doi.org/10.48550/arXiv.2606.19348 . ↗
  22. J. Dekoninck, N. Jovanović, I. Petrov, and M. Vechev. Matharena apex: Unconquered final-answer problems, 2025. URL https://matharena.ai/apex/ . ↗
  23. S. Deng, Z. Ouyang, T. Pang, Z. Liu, R. Jin, S. Yu, and Y. Yang. Rmnp: Row-momentum normalized preconditioning for scalable matrix-based optimization. arXiv preprint arXiv:2603.20527, 2026. — [arXiv:2603.20527](https://arxiv.org/abs/2603.20527) find
  24. J. Ding, S. Long, C. Pu, H. Zhou, H. Gao, X. Gao, C. He, Y. Hou, F. Hu, Z. Li, et al. Nl2repo-bench: Towards long-horizon repository generation evaluation of coding agents. arXiv preprint arXiv:2512.12730, 2025. — [arXiv:2512.12730](https://arxiv.org/abs/2512.12730) find
  25. A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, J. Uszkoreit, and N. Houlsby. An image is worth 16x16 words: Transformers for image recognition at scale. In International Conference on Learning Representations, 2021. U…
  26. X. Du, Y. Yao, K. Ma, B. Wang, T. Zheng, K. Zhu, M. Liu, Y. Liang, X. Jin, Z. Wei, et al. Supergpqa: Scaling llm evaluation across 285 graduate disciplines. arXiv preprint arXiv:2502.14739, 2025. find
  27. D. Dua, Y. Wang, P. Dasigi, G. Stanovsky, S. Singh, and M. Gardner. DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs. In J. Burstein, C. Doran, and T. Solorio, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computa…
  28. Y. Gao, J. Wei, Q. Zhang, Y. Cheng, S. Chen, Z. Tang, Z. Jiang, Y. Song, H. Zhang, L. Zhao, B. Yang, G. Wang, S. Cao, and F. Luo. Hysparse: A hybrid sparse attention architecture with oracle token selection and kv cache sharing. arXiv preprint arXiv:2602.03560, 2026. — [arXiv:2602.03560](https://arxiv.org/abs/2602.03560) find
  29. S. Garre, C. Mutty, S. Mehta, and E. Chen. Chartography: A benchmark for professional chart understanding. arXiv preprint arXiv:2608.10677, 2026. — [arXiv:2608.10677](https://arxiv.org/abs/2608.10677) find
  30. A. Glentis, J. Li, A. Han, and M. Hong. Memory-efficient llm pretraining via minimalist optimizer design. arXiv preprint arXiv:2506.16659, 2025. — [arXiv:2506.16659](https://arxiv.org/abs/2506.16659) find
  31. Y. Gu, L. Dong, F. Wei, and M. Huang. Minillm: Knowledge distillation of large language models. In The Twelfth International Conference on Learning Representations, 2024. find
  32. L. Haas, G. Yona, G. D’Antonio, S. Goldshtein, and D. Das. Simpleqa verified: A reliable factuality benchmark to measure parametric knowledge. arXiv preprint arXiv:2509.07968, 2025.
  33. D. Hendrycks, C. Burns, S. Kadavath, A. Arora, S. Basart, E. Tang, D. Song, and J. Steinhardt. Measuring mathematical problem solving with the math dataset. arXiv preprint arXiv:2103.03874, 2021.
  34. Y. Huang, Y. Bai, Z. Zhu, J. Zhang, J. Zhang, T. Su, J. Liu, C. Lv, Y. Zhang, J. Lei, et al. C-Eval: A multi-level multi-discipline chinese evaluation suite for foundation models. arXiv preprint arXiv:2305.08322, 2023.
  35. D. Hupkes and N. Bogoychev. Multiloko: a multilingual local knowledge benchmark for llms spanning 31 languages. CoRR, abs/2504.10356, 2025. doi: 10.48550/ARXIV.2504.10356. URL https://doi.org/10.48550/arXiv.2504.10356 . ↗
  36. B. Jacob, S. Kligys, B. Chen, M. Zhu, M. Tang, A. Howard, H. Adam, and D. Kalenichenko. Quantization and training of neural networks for efficient integer-arithmetic-only inference. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018. find
  37. K. Jordan, Y. Jin, V. Boza, J. You, F. Cesista, L. Newhouse, and J. Bernstein. Muon: An optimizer for hidden layers in neural networks. Cited on, page 10, 2024. find
  38. M. Kazemi, B. Fatemi, H. Bansal, J. Palowitch, C. Anastasiou, S. V. Mehta, L. K. Jain, V. Aglietti, D. Jindal, Y. P. Chen, et al. Big-bench extra hard. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 26473–26501, 2025.
  39. S. Kazemzadeh, V. Ordonez, M. Matten, and T. Berg. Referitgame: Referring to objects in photographs of natural scenes. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pages 787–798, 2014.
  40. R. Kondra, S. Mhatre, A. Kumar, E. Chu, B. B. Ahmad, A. Nangia, R. Agarwal, A. Dasgupta, A. Sinha, B. Sridharan, K. Dave, B. Graham, G. Song, A. Rahul, W. H. Lim, A. Thangamuthu, R. Singh, D. Liu, N. Pour, C. Chen, and J. Mattern. Frontierswe v2. Proximal Blog, 2026. https://frontierswe.com/blog/v2. ↗
  41. H. Lee, J. Liu, D. Kim, W. Xia, Z. Zhang, C. S. Xia, and L. Zhang. Sec-bench pro: Can language models solve long-horizon software security tasks? arXiv preprint arXiv:2605.26548, 2026. — [arXiv:2605.26548](https://arxiv.org/abs/2605.26548) find
  42. J. Li and S. Liu. Flashmla: Efficient multi-head latent attention kernels. https://github.com/deepseek-ai/FlashMLA , 2025. ↗
  43. J. Liu, J. Su, X. Yao, Z. Jiang, G. Lai, Y. Du, Y. Qin, W. Xu, E. Lu, J. Yan, Y. Chen, H. Zheng, Y. Liu, S. Liu, B. Yin, W. He, H. Zhu, Y. Wang, J. Wang, M. Dong, Z. Zhang, Y. Kang, H. Zhang, X. Xu, Y. Zhang, Y. Wu, X. Zhou, and Z. Yang. Muon is scalable for LLM training. CoRR, abs/2502.16982, 2025.… find
  44. I. Loshchilov and F. Hutter. Decoupled weight decay regularization. In International Conference on Learning Representations, 2019. URL https://openreview.net/forum?id=Bkg6Ri CqY7 . ↗
  45. K. Lu and T. M. Lab. On-policy distillation. Thinking Machines Lab: Connectionism, 2025. doi: 10.64434/tml.20251026. https://thinkingmachines.ai/blog/on-policy-distillation. — [doi:10.64434/tml.20251026](https://doi.org/10.64434/tml.20251026) ↗
  46. J. Mao, J. Huang, A. Toshev, O. Camburu, A. L. Yuille, and K. Murphy. Generation and comprehension of unambiguous object descriptions. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 11–20, 2016.
  47. A. Marafioti, O. Zohar, M. Farré, M. Noyan, E. Bakouch, P. Cuenca, C. Zakka, L. B. Allal, A. Lozhkov, N. Tazi, V. Srivastav, J. Lochner, H. Larcher, M. Morlon, L. Tunstall, L. von Werra, and T. Wolf. Smolvlm: Redefining small and efficient multimodal models. arXiv preprint arXiv:2504.05299, 2025. find
  48. R. Marten, A. Shaw, I. Bercovich, B. Droste, T. Cerruti, S. Dillmann, R. Wang, D. Wahdany, A. Hart, K. Krauth, ScaleAI, Snorkel AI, Turing, gNucleus AI, Boolean AI, N. Carlini, S. Lyu, A. Wei, A. Khatua, B. Plüster, C. Dwivedi, C. Sutcliffe, Yuming, D. Tivris, D. Wang, H. W. Goh, H. Xing, H. Lin, I.… find
  49. R. Marten, A. Shaw, A. Konwinski, and Terminal-Bench Contributors. Terminal-bench 3.0: Harder tasks for better agents. https://www.tbench.ai/news/terminal-bench-3-0 , 2026b. An Open Benchmark for Agent Work in Terminal Environments. ↗
  50. M. Mathew, D. Karatzas, and C. Jawahar. Docvqa: A dataset for vqa on document images. In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), pages 2199–2208.
  51. M. A. Merrill, A. G. Shaw, N. Carlini, B. Li, H. Raj, I. Bercovich, L. Shi, J. Y. Shin, T. Walshe, E. K. Buchanan, et al. Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces. arXiv preprint arXiv:2601.11868, 2026. — [arXiv:2601.11868](https://arxiv.org/abs/2601.11868) find
  52. V. K. Nagaraja, V. I. Morariu, and L. S. Davis. Modeling context between objects for referring expression understanding. In European conference on computer vision, pages 792–807. Springer, 2016. find
  53. Y. Nesterov. A method of solving a convex programming problem with convergence rate 𝑂 (1/ 𝑘 2 ). Soviet Mathematics Doklady, 27:372–376, 1983. find
  54. OpenAI. gpt-oss-120b & gpt-oss-20b model card. CoRR, abs/2508.10925, 2025. doi: 10.48550/A RXIV.2508.10925. URL https://doi.org/10.48550/arXiv.2508.10925 . ↗
  55. OpenAI. Codex. https://github.com/openai/codex , 2026. ↗
  56. L. Phan, A. Gatti, Z. Han, N. Li, J. Hu, H. Zhang, C. B. C. Zhang, M. Shaaban, J. Ling, S. Shi, et al. Humanity’s last exam. arXiv preprint arXiv:2501.14249, 2025.
  57. Y. Qian, S. Liu, and Y. Li. Deepselect: High-performance topk kernels for deepseek sparse attention and sampling. https://github.com/deepseek-ai/DeepSelect , 2026. ↗
  58. D. Rein, B. L. Hou, A. C. Stickland, J. Petty, R. Y. Pang, J. Dirani, J. Michael, and S. R. Bowman. GPQA: A graduate-level google-proof q&a benchmark. arXiv preprint arXiv:2311.12022, 2023.
  59. J. Roberts, M. R. Taesiri, A. Sharma, A. Gupta, S. Roberts, I. Croitoru, S.-V. Bogolin, J. Tang, F. Langer, V. Raina, et al. Zerobench: An impossible visual benchmark for contemporary large multimodal models. arXiv preprint arXiv:2502.09696, 2025. — [arXiv:2502.09696](https://arxiv.org/abs/2502.09696) find
  60. B. D. Rouhani, R. Zhao, A. More, M. Hall, A. Khodamoradi, S. Deng, D. Choudhary, M. Cornea, E. Dellinger, K. Denolf, S. Dusan, V. Elango, M. Golub, A. Heinecke, P. James-Roxby, D. Jani, G. Kolhe, M. Langhammer, A. Li, L. Melnick, M. Mesmakhosroshahi, A. Rodriguez, M. Schulte, R. Shafipour, L. Shao,… find
  61. M. Scetbon, C. Ma, W. Gong, and E. Meeds. Gradient multi-normalization for efficient LLM training. In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025. URL https://openreview.net/forum?id=oanhUGY6un . ↗
  62. N. Shazeer. Glu variants improve transformer. arXiv preprint arXiv:2002.05202, 2020. find
  63. N. Shazeer and M. Stern. Adafactor: Adaptive learning rates with sublinear memory cost. In International conference on machine learning, pages 4596–4604. PMLR, 2018. find
  64. D. Shepard and R. Salimans. Automationbench. arXiv preprint arXiv:2604.18934, 2026. find
  65. F. Shi, M. Suzgun, M. Freitag, X. Wang, S. Srivats, S. Vosoughi, H. W. Chung, Y. Tay, S. Ruder, D. Zhou, D. Das, and J. Wei. Language models are multilingual chain-of-thought reasoners. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.
  66. OpenReview.net, 2023. URL https://openreview.net/forum?i d=fR3wGCk-IXp . ↗
  67. Y. Sun, L. Dong, Y. Zhu, S. Huang, W. Wang, S. Ma, Q. Zhang, J. Wang, and F. Wei. You only cache once: Decoder-decoder architectures for language models. Advances in Neural Information Processing Systems, 37:7339–7361, 2024. find
  68. Y. Sun, X. Han, W. Zhang, Y. Pang, T. Wang, Y. Cao, Y. Huang, C. Duroiu, H. Zhang, J. Lin, et al. Agents’ last exam. arXiv preprint arXiv:2606.05405, 2026a. find
  69. Y. Sun, Y. Zhang, L. Dong, J. Wang, and F. Wei. You only index once: Cross-layer sparse attention with shared routing. arXiv preprint arXiv:2606.06467, 2026b. — [arXiv:2606.06467](https://arxiv.org/abs/2606.06467) find
  70. M. Suzgun, N. Scales, N. Schärli, S. Gehrmann, Y. Tay, H. W. Chung, A. Chowdhery, Q. V. Le, E. H. Chi, D. Zhou, et al. Challenging big-bench tasks and whether chain-of-thought can solve them. arXiv preprint arXiv:2210.09261, 2022.
  71. K. Team, T. Bai, Y. Bai, Y. Bao, J. Cai, X. Cai, P. Cao, Y. Cao, Z. Chai, Y. Charles, et al. Kimi k3: Open frontier intelligence. arXiv preprint arXiv:2607.24653, 2026a.
  72. K. Team, T. Bai, Y. Bai, Y. Bao, S. Cai, Y. Cao, Z. Chai, Y. Charles, H. Che, C. Chen, et al. Kimi k2.5: Visual agentic intelligence. arXiv preprint arXiv:2602.02276, 2026b.
  73. M. L. Team, B. Wang, B. Xiao, B. Zhang, B. Rong, B. Chen, C. Wan, C. Zhang, C. Huang, C. Chen, et al. Longcat-flash-omni technical report. arXiv preprint arXiv:2511.00279, 2025. — [arXiv:2511.00279](https://arxiv.org/abs/2511.00279) find
  74. S. Tong, E. Brown, P. Wu, S. Woo, M. Middepogu, S. C. Akula, J. Yang, S. Yang, A. Iyer, X. Pan, A. Wang, R. Fergus, Y. LeCun, and S. Xie. Cambrian-1: A fully open, vision-centric exploration of multimodal llms, 2024.
  75. L. Wang, H. Gao, C. Zhao, X. Sun, and D. Dai. Auxiliary-loss-free load balancing strategy for mixture-of-experts. CoRR, abs/2408.15664, 2024a. URL https://doi.org/10.48550/arX iv.2408.15664 . — [doi:10.48550/arx](https://doi.org/10.48550/arx) ↗
  76. X. Wang, C. Xu, H. Cao, R. Tian, W. Zhao, K. Yu, and C. Zhao. Tilekernels. https://github.com/deepseek-ai/TileKernels , 2026a. ↗
  77. Y. Wang, X. Ma, G. Zhang, Y. Ni, A. Chandra, S. Guo, W. Ren, A. Arulraj, X. He, Z. Jiang, T. Li, M. Ku, K. Wang, A. Zhuang, R. Fan, X. Yue, and W. Chen. Mmlu-pro: A more robust and challenging multi-task language understanding benchmark. CoRR, abs/2406.01574, 2024b. URL https://doi.org/10.48550/arXi… ↗
  78. Z. Wang, N. Schiller, H. Li, S. S. Narayana, M. Nasr, N. Carlini, X. Qi, E. Wallace, E. Bursztein, L. Invernizzi, et al. Exploitgym: Can ai agents turn security vulnerabilities into real attacks? arXiv preprint arXiv:2605.11086, 2026b. — [arXiv:2605.11086](https://arxiv.org/abs/2605.11086) find
  79. Z. Wang, T. Shi, J. He, M. Cai, J. Zhang, and D. Song. Cybergym: Evaluating ai agents’ real-world cybersecurity capabilities at scale. In International Conference on Learning Representations, volume 2026, pages 123341–123386, 2026c. find
  80. Z. Wen, Y. Shi, J. Wang, P. Luo, L. Qiao, D. Li, and T. Sun. Sron: State-free llm training via row-wise gradient normalization. 2025. find
  81. Z. Xie, Y. Wei, H. Cao, C. Zhao, C. Deng, J. Li, D. Dai, H. Gao, J. Chang, K. Yu, L. Zhao, S. Zhou, Z. Xu, Z. Zhang, W. Zeng, S. Hu, Y. Wang, J. Yuan, L. Wang, and W. Liang. mhc: Manifold-constrained hyper-connections, 2026. URL https://arxiv.org/abs/2512.24880 . — [arXiv:2512.24880](https://arxiv.org/abs/2512.24880) ↗
  82. R. Xu, J. Li, and Y. Lu. On the width scaling of neural optimizers under matrix operator norms i: Row/column normalization and hyperparameter transfer. arXiv preprint arXiv:2603.09952, 2026a. — [arXiv:2603.09952](https://arxiv.org/abs/2603.09952) find
  83. Y. Xu, F. Meng, F. Jiang, Y. Wang, R. Zhou, Z. Wang, J. Wu, Z. Pan, X. Tang, W. Pei, et al. Hisa: Efficient hierarchical indexing for fine-grained sparse attention. arXiv preprint arXiv:2603.28458, 2026b. — [arXiv:2603.28458](https://arxiv.org/abs/2603.28458) find
  84. J. Yang, C. E. Jimenez, A. Wettig, K. Lieret, S. Yao, K. R. Narasimhan, and O. Press. SWE-agent: Agent-computer interfaces enable automated software engineering. In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. URL https://arxi v.org/abs/2405.15793 .
  85. J. Yang, K. Lieret, J. Ma, P. Thakkar, D. Pedchenko, S. Sootla, E. McMilin, P. Yin, R. Hou, G. Synnaeve, D. Yang, and O. Press. Programbench: Can language models rebuild programs from scratch?, 2026. URL https://arxiv.org/abs/2605.03546 . ↗
  86. L. Yu, P. Poirson, S. Yang, A. C. Berg, and T. L. Berg. Modeling context in referring expressions. In European conference on computer vision, pages 69–85. Springer, 2016.
  87. J. Yuan, J. Zou, S. Wang, Y. Liu, and F. Nie. Nora: Normalized orthogonal row alignment for scalable matrix optimizer. arXiv preprint arXiv:2605.03769, 2026. — [arXiv:2605.03769](https://arxiv.org/abs/2605.03769) find
  88. X. Yue, T. Zheng, Y. Ni, Y. Wang, K. Zhang, S. Tong, Y. Sun, B. Yu, G. Zhang, H. Sun, et al. Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15134–15… find
  89. M. Zechner. Pi: The coding-agent harness you can make your own. https://github.com/e arendil-works/pi , 2026. ↗
  90. R. Zellers, A. Holtzman, Y. Bisk, A. Farhadi, and Y. Choi. HellaSwag: Can a machine really finish your sentence? In A. Korhonen, D. R. Traum, and L. Màrquez, editors, Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 20… find
  91. A. Zeng, X. Lv, Z. Hou, Z. Du, Q. Zheng, B. Chen, D. Yin, C. Ge, C. Huang, C. Xie, et al. Glm-5: from vibe coding to agentic engineering. arXiv preprint arXiv:2602.15763, 2026.
  92. X. Zhai, B. Mustafa, A. Kolesnikov, and L. Beyer. Sigmoid loss for language image pre-training. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11941–11952.
  93. B. Zhang and R. Sennrich. Root mean square layer normalization. Advances in neural information processing systems, 32, 2019. find
  94. Y. Zhang. On the principles behind neural network optimizers. arXiv preprint arXiv:2608.16760, 2026. — [arXiv:2608.16760](https://arxiv.org/abs/2608.16760) find
  95. Y. Zhang, C. Chen, T. Ding, Z. Li, R. Sun, and Z.-Q. Luo. Why transformers need adam: A hessian perspective. Advances in neural information processing systems, 37:131786–131823, 2024. find
  96. Y. Zhang, C. Chen, Z. Li, T. Ding, C. Wu, D. D. Kingma, Y. Ye, Z.-Q. Luo, and R. Sun. Adam-mini: Use fewer learning rates to gain more. In International Conference on Learning Representations, volume 2025, pages 28033–28063, 2025a. find
  97. Z. Zhang, Y. Zhong, Y. Jiang, H. Hu, J. Sun, Z. Ge, Y. Zhu, D. Jiang, and X. Jin. Disttrain: Addressing model and data heterogeneity with disaggregated training for multimodal large language models. In Proceedings of the ACM SIGCOMM 2025 Conference, pages 24–38, 2025b. find
  98. C. Zhao, L. Zhao, J. Li, Z. Xu, and C. Xu. Deepgemm: clean and efficient fp8 gemm kernels with fine-grained scaling. https://github.com/deepseek-ai/DeepGEMM , 2025. ↗
  99. W. Zhong, R. Cui, Y. Guo, Y. Liang, S. Lu, Y. Wang, A. Saied, W. Chen, and N. Duan. AGIEval: A human-centric benchmark for evaluating foundation models. CoRR, abs/2304.06364, 2023. doi: 10.48550/arXiv.2304.06364. URL https://doi.org/10.48550/arXiv.2304.06364 . ↗
  100. T. Y. Zhuo, M. C. Vu, J. Chim, H. Hu, W. Yu, R. Widyasari, I. N. B. Yusuf, H. Zhan, J. He, I. Paul, S. Brunner, C. Gong, J. Hoang, A. R. Zebaze, X. Hong, W. Li, J. Kaddour, M. Xu, Z. Zhang, P. Yadav, and et al. Bigcodebench: Benchmarking code generation with diverse function calls and complex instru… — BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
  101. OpenReview.net, 2025. URL https://openreview.net/forum?id=YrycTjllL0 . ↗

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