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We introduce DeepSeek-V3.2, a model that harmonizes high computational efficiency with superior reasoning and agent performance. The key technical breakthroughs of DeepSeek-V3.2 are as follows: (1) DeepSeek Sparse Attention (DSA): We…

Computation and Language · Computer Science 2025-12-03 DeepSeek-AI , Aixin Liu , Aoxue Mei , Bangcai Lin , Bing Xue , Bingxuan Wang , Bingzheng Xu , Bochao Wu , Bowei Zhang , Chaofan Lin , Chen Dong , Chengda Lu , Chenggang Zhao , Chengqi Deng , Chenhao Xu , Chong Ruan , Damai Dai , Daya Guo , Dejian Yang , Deli Chen , Erhang Li , Fangqi Zhou , Fangyun Lin , Fucong Dai , Guangbo Hao , Guanting Chen , Guowei Li , H. Zhang , Hanwei Xu , Hao Li , Haofen Liang , Haoran Wei , Haowei Zhang , Haowen Luo , Haozhe Ji , Honghui Ding , Hongxuan Tang , Huanqi Cao , Huazuo Gao , Hui Qu , Hui Zeng , Jialiang Huang , Jiashi Li , Jiaxin Xu , Jiewen Hu , Jingchang Chen , Jingting Xiang , Jingyang Yuan , Jingyuan Cheng , Jinhua Zhu , Jun Ran , Junguang Jiang , Junjie Qiu , Junlong Li , Junxiao Song , Kai Dong , Kaige Gao , Kang Guan , Kexin Huang , Kexing Zhou , Kezhao Huang , Kuai Yu , Lean Wang , Lecong Zhang , Lei Wang , Liang Zhao , Liangsheng Yin , Lihua Guo , Lingxiao Luo , Linwang Ma , Litong Wang , Liyue Zhang , M. S. Di , M. Y Xu , Mingchuan Zhang , Minghua Zhang , Minghui Tang , Mingxu Zhou , Panpan Huang , Peixin Cong , Peiyi Wang , Qiancheng Wang , Qihao Zhu , Qingyang Li , Qinyu Chen , Qiushi Du , Ruiling Xu , Ruiqi Ge , Ruisong Zhang , Ruizhe Pan , Runji Wang , Runqiu Yin , Runxin Xu , Ruomeng Shen , Ruoyu Zhang , S. H. Liu , Shanghao Lu , Shangyan Zhou , Shanhuang Chen , Shaofei Cai , Shaoyuan Chen , Shengding Hu , Shengyu Liu , Shiqiang Hu , Shirong Ma , Shiyu Wang , Shuiping Yu , Shunfeng Zhou , Shuting Pan , Songyang Zhou , Tao Ni , Tao Yun , Tian Pei , Tian Ye , Tianyuan Yue , Wangding Zeng , Wen Liu , Wenfeng Liang , Wenjie Pang , Wenjing Luo , Wenjun Gao , Wentao Zhang , Xi Gao , Xiangwen Wang , Xiao Bi , Xiaodong Liu , Xiaohan Wang , Xiaokang Chen , Xiaokang Zhang , Xiaotao Nie , Xin Cheng , Xin Liu , Xin Xie , Xingchao Liu , Xingkai Yu , Xingyou Li , Xinyu Yang , Xinyuan Li , Xu Chen , Xuecheng Su , Xuehai Pan , Xuheng Lin , Xuwei Fu , Y. Q. Wang , Yang Zhang , Yanhong Xu , Yanru Ma , Yao Li , Yao Li , Yao Zhao , Yaofeng Sun , Yaohui Wang , Yi Qian , Yi Yu , Yichao Zhang , Yifan Ding , Yifan Shi , Yiliang Xiong , Ying He , Ying Zhou , Yinmin Zhong , Yishi Piao , Yisong Wang , Yixiao Chen , Yixuan Tan , Yixuan Wei , Yiyang Ma , Yiyuan Liu , Yonglun Yang , Yongqiang Guo , Yongtong Wu , Yu Wu , Yuan Cheng , Yuan Ou , Yuanfan Xu , Yuduan Wang , Yue Gong , Yuhan Wu , Yuheng Zou , Yukun Li , Yunfan Xiong , Yuxiang Luo , Yuxiang You , Yuxuan Liu , Yuyang Zhou , Z. F. Wu , Z. Z. Ren , Zehua Zhao , Zehui Ren , Zhangli Sha , Zhe Fu , Zhean Xu , Zhenda Xie , Zhengyan Zhang , Zhewen Hao , Zhibin Gou , Zhicheng Ma , Zhigang Yan , Zhihong Shao , Zhixian Huang , Zhiyu Wu , Zhuoshu Li , Zhuping Zhang , Zian Xu , Zihao Wang , Zihui Gu , Zijia Zhu , Zilin Li , Zipeng Zhang , Ziwei Xie , Ziyi Gao , Zizheng Pan , Zongqing Yao , Bei Feng , Hui Li , J. L. Cai , Jiaqi Ni , Lei Xu , Meng Li , Ning Tian , R. J. Chen , R. L. Jin , S. S. Li , Shuang Zhou , Tianyu Sun , X. Q. Li , Xiangyue Jin , Xiaojin Shen , Xiaosha Chen , Xinnan Song , Xinyi Zhou , Y. X. Zhu , Yanping Huang , Yaohui Li , Yi Zheng , Yuchen Zhu , Yunxian Ma , Zhen Huang , Zhipeng Xu , Zhongyu Zhang , Dongjie Ji , Jian Liang , Jianzhong Guo , Jin Chen , Leyi Xia , Miaojun Wang , Mingming Li , Peng Zhang , Ruyi Chen , Shangmian Sun , Shaoqing Wu , Shengfeng Ye , T. Wang , W. L. Xiao , Wei An , Xianzu Wang , Xiaowen Sun , Xiaoxiang Wang , Ying Tang , Yukun Zha , Zekai Zhang , Zhe Ju , Zhen Zhang , Zihua Qu

Recently the ATLAS experiment has reported 3.0 sigma excess in an on-Z signal region in searches for supersymmetric particles. We find that the next-to-minimal supersymmetric standard model can explain this excess by the production of…

High Energy Physics - Phenomenology · Physics 2016-01-25 Keisuke Harigaya , Masahiro Ibe , Teppei Kitahara

A search for supersymmetry through the pair production of electroweakinos is presented in a three-lepton final state. The analyzed proton-proton collision data taken at a centre-of-mass energy of $\sqrt{s} = 13$ TeV were collected between…

High Energy Physics - Experiment · Physics 2019-10-16 Elodie Resseguie

Supersymmetry (SUSY) is a complete and renormalisable candidate for an extension of the Standard Model. At an energy scale not too far above the electroweak scale it would solve the hierarchy problem of the SM Higgs boson, dynamically…

High Energy Physics - Experiment · Physics 2015-06-11 Philip Bechtle , Tilman Plehn , Christian Sander

Methane is a potent greenhouse gas, and detecting its leaks early via hyperspectral satellite imagery can help mitigate climate change. Meanwhile, many existing missions operate in manual tasking regimes only, thus missing potential events…

Computer Vision and Pattern Recognition · Computer Science 2025-07-03 Jonáš Herec , Vít Růžička , Rado Pitoňák

Detecting anomalies in energy consumption data is crucial for identifying energy waste, equipment malfunction, and overall, for ensuring efficient energy management. Machine learning, and specifically deep learning approaches, have been…

Machine Learning · Computer Science 2025-01-13 Mohammad Noorchenarboo , Katarina Grolinger

This paper presents a computer code for analyzing electroweak precision data (EWPD) in the framework of the Standard Model Effective Field Theory (SMEFT), highlights the importance of recent ATLAS and CMS precision measurements, and…

High Energy Physics - Phenomenology · Physics 2026-05-14 Hannes Mildner

The factor of four increase in the LHC luminosity, from $0.5\times 10^{34}\,\textrm{cm}^{-2}\textrm{s}^{-1}$ to $2.0\times 10^{34}\textrm{cm}^{-2}\textrm{s}^{-1}$, and the corresponding increase in pile-up collisions during the 2015-2018…

High Energy Physics - Experiment · Physics 2021-01-12 ATLAS Collaboration

Continuous electrocardiogram (ECG) monitoring via wearable devices is vital for early cardiovascular disease detection. However, deploying deep learning models on resource-constrained microcontrollers faces reliability challenges,…

Machine Learning · Computer Science 2026-01-26 Mustafa Fuad Rifet Ibrahim , Maurice Meijer , Alexander Schlaefer , Peer Stelldinger

The modelling of minimum bias interactions is a crucial ingredient to learn about the description of soft QCD processes. It has also a significant relevance for the simulation of the environment at the LHC with many concurrent pp…

High Energy Physics - Experiment · Physics 2017-06-26 Jiri Kvita

Large language models have become proficient at generating functional code, but ensuring the output truly matches the programmer's intent remains difficult. Testing improves trust, yet for safety-critical applications, formal verification…

Software Engineering · Computer Science 2026-02-03 Mantas Baksys , Stefan Zetzsche , Olivier Bouissou , Remi Delmas , Soonho Kong , Sean B. Holden

Interpreting the diphoton mass excesses near 750~GeV reported by ATLAS and CMS as pseudoscalar gluinonia, bound states of two gluinos, we perform a scan in Next-to-Minimal Supersymmetry parameter space, fixing $m_{\tilde{g}}\approx 380$~GeV…

High Energy Physics - Phenomenology · Physics 2016-06-29 C. T. Potter

Logarithmic Number Systems (LNS) hold considerable promise in helping reduce the number of bits needed to represent a high dynamic range of real-numbers with finite precision, and also efficiently support multiplication and division.…

Mathematical Software · Computer Science 2024-01-31 Thanh Son Nguyen , Alexey Solovyev , Ganesh Gopalakrishnan

The growth in the number of parameters of Large Language Models (LLMs) has led to a significant surge in computational requirements, making them challenging and costly to deploy. Speculative decoding (SD) leverages smaller models to…

Computation and Language · Computer Science 2025-04-04 Matthieu Zimmer , Milan Gritta , Gerasimos Lampouras , Haitham Bou Ammar , Jun Wang

The combined algorithm selection and hyperparameter tuning (CASH) problem is characterized by large hierarchical hyperparameter spaces. Model-free hyperparameter tuning methods can explore such large spaces efficiently since they are highly…

Machine Learning · Computer Science 2019-11-22 Dimitrios Sarigiannis , Thomas Parnell , Haris Pozidis

This talk presents results from the CMS and ATLAS Collaborations from searches for physics beyond the Standard Model motivated by supersymmetry from Run 1 of the LHC. Representative searches are described to illustrate the diverse nature of…

High Energy Physics - Experiment · Physics 2016-01-18 Keith A. Ulmer

A selection of recent searches for Supersymmetry conducted by the ATLAS and CMS collaborations is presented, summarizing the relevant results for inclusive squark and gluino production at the LHC. No indication for the existence of…

High Energy Physics - Experiment · Physics 2019-08-14 Alexander Mann

The possibility to simulate lepton number violating supersymmetric models has been introduced into the recently updated PYTHIA event generator, now containing 1278 decay channels of SUSY particles into SM particles via lepton number…

High Energy Physics - Phenomenology · Physics 2009-12-15 P. Z. Skands

SModelS is an automatised tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a $\mathbb{Z}_2$ symmetry. With the version 1.2 we announce several new features. First,…

Searches for physics beyond the standard model are considered one of the corner stones of the physics program at the two multipurpose experiments, ATLAS and CMS, at the LHC. Both experiments have conducted numerous searches for new…

High Energy Physics - Experiment · Physics 2019-08-14 Claudia Seitz