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• DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning AI翻译
  作者：Guo, Daya; Yang, Dejian; Zhang, Haowei; Song, Junxiao; Wang, Peiyi; Zhu, Qihao; Xu, Runxin; Zhang, Ruoyu; Ma, Shirong; Bi, Xiao; Zhang, Xiaokang; Yu, Xingkai; Wu, Yu; Wu, Z. F.; Gou, Zhibin; Shao, Zhihong; Li, Zhuoshu; Gao, Ziyi; Liu, Aixin; Xue, Bing; Wang, Bingxuan; Wu, Bochao; Feng, Bei; Lu, Chengda; Zhao, Chenggang; Deng, Chengqi; Ruan, Chong; Dai, Damai; Chen, Deli; Ji, Dongjie; Li, Erhang; Lin, Fangyun; Dai, Fucong; Luo, Fuli; Hao, Guangbo; Chen, Guanting; Li, Guowei; Zhang, H.; Xu, Hanwei; Ding, Honghui; Gao, Huazuo; Qu, Hui; Li, Hui; Guo, Jianzhong; Li, Jiashi; Chen, Jingchang; Yuan, Jingyang; Tu, Jinhao; Qiu, Junjie; Li, Junlong; Cai, J. L.; Ni, Jiaqi; Liang, Jian; Chen, Jin; Dong, Kai; Hu, Kai; You, Kaichao; Gao, Kaige; Guan, Kang; Huang, Kexin; Yu, Kuai; Wang, Lean; Zhang, Lecong; Zhao, Liang; Wang, Litong; Zhang, Liyue; Xu, Lei; Xia, Leyi; Zhang, Mingchuan; Zhang, Minghua; Tang, Minghui; Zhou, Mingxu; Li, Meng; Wang, Miaojun; Li, Mingming; Tian, Ning; Huang, Panpan; Zhang, Peng; Wang, Qiancheng; Chen, Qinyu; Du, Qiushi; Ge, Ruiqi; Zhang, Ruisong; Pan, Ruizhe; Wang, Runji; Chen, R. J.; Jin, R. L.; Chen, Ruyi; Lu, Shanghao; Zhou, Shangyan; Chen, Shanhuang; Ye, Shengfeng; Wang, Shiyu; Yu, Shuiping; Zhou, Shunfeng; Pan, Shuting; Li, S. S.; Zhou, Shuang; Wu, Shaoqing; Yun, Tao; Pei, Tian; Sun, Tianyu; Wang, T.; Zeng, Wangding; Liu, Wen; Liang, Wenfeng; Gao, Wenjun; Yu, Wenqin; Zhang, Wentao; Xiao, W. L.; An, Wei; Liu, Xiaodong; Wang, Xiaohan; Chen, Xiaokang; Nie, Xiaotao; Cheng, Xin; Liu, Xin; Xie, Xin; Liu, Xingchao; Yang, Xinyu; Li, Xinyuan; Su, Xuecheng; Lin, Xuheng; Li, X. Q.; Jin, Xiangyue; Shen, Xiaojin; Chen, Xiaosha; Sun, Xiaowen; Wang, Xiaoxiang; Song, Xinnan; Zhou, Xinyi; Wang, Xianzu; Shan, Xinxia; Li, Y. K.; Wang, Y. Q.; Wei, Y. X.; Zhang, Yang; Xu, Yanhong; Li, Yao; Zhao, Yao; Sun, Yaofeng; Wang, Yaohui; Yu, Yi; Zhang, Yichao; Shi, Yifan; Xiong, Yiliang; He, Ying; Piao, Yishi; Wang, Yisong; Tan, Yixuan; Ma, Yiyang; Liu, Yiyuan; Guo, Yongqiang; Ou, Yuan; Wang, Yuduan; Gong, Yue; Zou, Yuheng; He, Yujia; Xiong, Yunfan; Luo, Yuxiang; You, Yuxiang; Liu, Yuxuan; Zhou, Yuyang; Zhu, Y. X.; Huang, Yanping; Li, Yaohui; Zheng, Yi; Zhu, Yuchen; Ma, Yunxian; Tang, Ying; Zha, Yukun; Yan, Yuting; Ren, Z. Z.; Ren, Zehui; Sha, Zhangli; Fu, Zhe; Xu, Zhean; Xie, Zhenda; Zhang, Zhengyan; Hao, Zhewen; Ma, Zhicheng; Yan, Zhigang; Wu, Zhiyu; Gu, Zihui; Zhu, Zijia; Liu, Zijun; Li, Zilin; Xie, Ziwei; Song, Ziyang; Pan, Zizheng; Huang, Zhen; Xu, Zhipeng; Zhang, Zhongyu; Zhang, Zhen
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Peking University; Tsinghua University
  摘要：General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs)1,2 and chain-of-thought (CoT) prompting3, have achieved considerable success on foundational reasoning tasks. However, this success is heavily contingent on extensive human-annotated demonstrations and the capabilities of models are still insufficient for more complex problems. Here we show that the reasoning abilities of LLMs ...
• Bring us your LLMs: why peer review is good for AI models AI翻译
  作者：[Anonymous]
• Make trains great again - for the sake of people and the planet AI翻译
  作者：[Anonymous]
• Whole-genome sequencing of 490,640 UK Biobank participants AI翻译
  作者：Carss, Keren; Halldorsson, Bjarni V.; Hou, Liping; Liu, Jimmy; Wheeler, Eleanor; Lo, Yancy; Kundu, Kousik; Huang, Zhuoyi; Ben Lacey, Ben; Dhindsa, Ryan S.; Rajan, Diana; Randjelovic, Jelena; Marriott, Neil; Scott, Carol E.; Yavuz, Ahmet Sinan; Johnston, Ian; Howe, Trevor; Black, Mary Helen; Stefansson, Kari; Scott, Robert; Petrovski, Slave; Li, Shuwei; Cortes, Adrian; Hu, Fengyuan; Wang, Quanli; Burren, Oliver S.; Deevi, Sri V. V.; Haefliger, Carolina; Lythgow, Kieren; Maccallum, Peter H.; Megy, Karyn; Mitchell, Jonathan; O'Dell, Sean; O'Neill, Amanda; Smith, Katherine R.; Taiy, Haeyam; Pangalos, Menelas; March, Ruth; Wasilewski, Sebastian; Eggertsson, Hannes P.; Moore, Kristjan H. S.; Hauswedell, Hannes; Eiriksson, Ogmundur; Skaftason, Aron; Gislason, Nokkvi; Sigurjonsdottir, Svanhvit; Ulfarsson, Magnus O.; Palsson, Gunnar; Hardarson, Marteinn T.; Oddsson, Asmundur; Jensson, Brynjar O.; Kristmundsdottir, Snaedis; Sigurpalsdottir, Brynja D.; Stefansson, Olafur A.; Beyter, Doruk; Holley, Guillaume; Tragante, Vinicius; Gylfason, Arnaldur; Olason, Pall I.; Zink, Florian; Asgeirsdottir, Margret; Sverrisson, Sverrir T.; Sigurdsson, Brynjar; Gudjonsson, Sigurjon A.; Sigurdsson, Gunnar T.; Halldorsson, Gisli H.; Sveinbjornsson, Gardar; Styrkarsdottir, Unnur; Magnusdottir, Droplaug N.; Snorradottir, Steinunn; Kristinsson, Kari; Sobech, Emilia; Thorleifsson, Gudmar; Jonsson, Frosti; Melsted, Pall; Jonsdottir, Ingileif; Rafnar, Thorunn; Holm, Hilma; Stefansson, Hreinn; Saemundsdottir, Jona; Gudbjartsson, Daniel F.; Magnusson, Olafur T.; Masson, Gisli; Thorsteinsdottir, Unnur; Helgason, Agnar; Jonsson, Hakon; Sulem, Patrick; Sandhuria, Jatin; Richardson, Tom G.; Howe, Laurence; Robins, Chloe; Liu, Dongjing; Albers, Patrick; Pereira, Mariana; Seaton, Daniel; Aulchenko, Yury; Whittaker, John; Dermitzakis, Manolis; Johnson, Toby; Davitte, Jonathan; Ingelsson, Erik; Molineros, Julio; Zhang, Yanfei; Li, Alexander H.; Baugh, Evan H.; Mlynarski, Elisabeth; Torshizi, Abolfazl Doostparast; Abdel-Azim, Gamal; Mautz, Brian; He, Karen Y.; Xi, Jingyue; Nieves-Rodriguez, Shirley; Khan, Asif; Xu, Songjun; Liu, Xingjun; Sarver, Brice; Truong, Dongnhu; Temanni, Mohamed-Ramzi; Whelan, Christopher D.; Goretti, Letizia; Khan, Najat; Fraile, Belen; Mansi, Tommaso; Rajagopal, Guna; Akhtar, Shaheen; Austin-Guest, Siobhan; Barber, Robert; Barrett, Daniel; Bellerby, Tristram; Clarke, Adrian; Clark, Richard; Coppola, Maria; Cornwell, Linda; Crackett, Abby; Dawson, Joseph; Day, Callum; Dove, Alexander; Durham, Jillian; Fairweather, Robert; Ferrero, Marcella; Fenton, Michael; Fordham, Howerd; Fraser, Audrey; Heath, Paul; Heron, Emily; Hornett, Gary; Hughes-Hallett, Lena; Jackson, David K.; Jakubowski Smith, Alexander; Laverack, Adam; Law, Katharine; Leonard, Steven R.; Lewis, Kevin; Liddle, Jennifer; Lindsell, Alice; Linsdell, Sally; Lovell, Jamie; Mack, James; Mallalieu, Henry; Mamun, Irfaan; Monteiro, Ana; Morrow, Leanne; Pardubska, Barbora; Popov, Alexandru; Sloper, Lisa; Squares, Jan; Still, Ian; Taylor, Oprah; Taylor, Sam; Tovar Corona, Jaime M.; Trigg, Elliott; Vancollie, Valerie; Voak, Paul; Weldon, Danni; Wells, Alan; Wells, Eloise; Williams, Mia; Wright, Sean; Miletic, Nevena; Lenhardt Ackovic, Lea; Slavkovic-Ilic, Marijeta; Lazarevic, Mladen; Aigrain, Louise; Redshaw, Nicholas; Quail, Michael; Shirley, Lesley; Thurston, Scott; Ellis, Peter; Grout, Laura; Smerdon, Natalie; Gray, Emma; Rance, Richard; Langford, Cordelia; Collins, Rory; Effingham, Mark; Allen, Naomi; Sellors, Jonathan; Sheard, Simon; Pancholi, Mahesh; Clark, Caroline; Burkitt-Gray, Lucy; Welsh, Samantha; Fry, Daniel; Watson, Rachel; Carson, Lauren; Young, Alan; Mehio, Rami; Schulz-Trieglaff, Ole
  作者单位：AstraZeneca; Reykjavik University; Johnson & Johnson; Janssen Pharmaceuticals; GlaxoSmithKline; Glaxosmithkline USA; Illumina; AstraZeneca; Wellcome Trust Sanger Institute; University of Iceland; GlaxoSmithKline; Glaxosmithkline United Kingdom; GlaxoSmithKline; AstraZeneca; AstraZeneca; University of Iceland; University of Iceland; Johnson & Johnson; Janssen Pharmaceuticals; Johnson & Johnson; Johnson & Johnson USA; Janssen Biotech Inc; Johnson & Johnson; Janssen Pharmaceuticals; Illumina; Illumina; MRC Biostatistics Unit; University of Cambridge
  摘要：Whole-genome sequencing provides an unbiased and complete view of the human genome and enables the discovery of genetic variation without the technical limitations of other genotyping technologies. Here we report on whole-genome sequencing of 490,640 UK Biobank participants, building on previous genotyping effort1. This advance deepens our understanding of how genetics associates with disease biology and further enhances the value of this open resource for the study of human biology and health...
• A gut sense for a microbial pattern regulates feeding AI翻译
  作者：Liu, Winston W.; Reicher, Naama; Alway, Emily; Rupprecht, Laura E.; Weng, Peter; Schaefgen, Chloe; Klein, Marguerita E.; Villalobos, Jorge A.; Puerto-Hernandez, Carlos; Kiesling Altun, Yolanda Graciela; Carbajal, Amanda; Aguayo-Guerrero, Jose Alfredo; Coss, Alam; Sahasrabudhe, Atharva; Anikeeva, Polina; de Araujo, Alan; Bali, Avnika; de Lartigue, Guillaume; Gil-Lievana, Elvi; Gutierrez, Ranier; Miao, Edward A.; Rawls, John F.; Kaelberer, M. Maya; Bohorquez, Diego V.
  作者单位：Duke University; Duke University; Duke University; Duke University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Monell Chemical Senses Center; University of Pennsylvania; CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional; CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional; Duke University; Duke University; Duke University; Duke University; University of Arizona; Duke University; Stanford University
  摘要：To coexist with its resident microorganisms, the host must have a sense to adjust its behaviour in response to them. In the intestine, a sense for nutrients transduced to the brain through neuroepithelial circuits guides appetitive choices1, 2, 3, 4-5. However, a sense that allows the host to respond in real time to stimuli arising from resident gut microorganisms remains to be uncovered. Here we show that in the mouse colon, the ubiquitous microbial pattern flagellin-a unifying feature across...
• Can Diet and Exercise Really Prevent Alzheimer's? AI翻译
  作者：Harrison, Sara
• AI can learn to show its workings through trial and error AI翻译
  作者：Ippolito, Daphne; Zhang, Yiming
  作者单位：Carnegie Mellon University
  摘要：Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told.
• Fertility declines are no cause for concern, history shows AI翻译
  作者：Macinnes, John
  作者单位：University of Edinburgh
• How to help refugees thrive: have local families host them AI翻译
  作者：[Anonymous]
• Newfound immune cell in mice hints at why inflammation spikes with old age AI翻译
  作者：Conroy, Gemma