التفاصيل البيبلوغرافية
العنوان:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
المؤلفون:
Srivastava, Aarohi , Rastogi, Abhinav , Rao, Abhishek , Shoeb, Abu Awal Md , Abid, Abubakar , Fisch, Adam , Brown, Adam R. , Santoro, Adam , Gupta, Aditya , Garriga-Alonso, Adrià , Kluska, Agnieszka , Lewkowycz, Aitor , Agarwal, Akshat , Power, Alethea , Ray, Alex , Warstadt, Alex , Kocurek, Alexander W. , Safaya, Ali , Tazarv, Ali , Xiang, Alice , Parrish, Alicia , Nie, Allen , Hussain, Aman , Askell, Amanda , Dsouza, Amanda , Slone, Ambrose , Rahane, Ameet , Iyer, Anantharaman S. , Andreassen, Anders , Madotto, Andrea , Santilli, Andrea , Stuhlmüller, Andreas , Dai, Andrew , La, Andrew , Lampinen, Andrew , Zou, Andy , Jiang, Angela , Chen, Angelica , Vuong, Anh , Gupta, Animesh , Gottardi, Anna , Norelli, Antonio , Venkatesh, Anu , Gholamidavoodi, Arash , Tabassum, Arfa , Menezes, Arul , Kirubarajan, Arun , Mullokandov, Asher , Sabharwal, Ashish , Herrick, Austin , Efrat, Avia , Erdem, Aykut , Karakaş, Ayla , Roberts, B. Ryan , Loe, Bao Sheng , Zoph, Barret , Bojanowski, Bartłomiej , Özyurt, Batuhan , Hedayatnia, Behnam , Neyshabur, Behnam , Inden, Benjamin , Stein, Benno , Ekmekci, Berk , Lin, Bill Yuchen , Howald, Blake , Orinion, Bryan , Diao, Cameron , Dour, Cameron , Stinson, Catherine , Argueta, Cedrick , Ramírez, César Ferri , Singh, Chandan , Rathkopf, Charles , Meng, Chenlin , Baral, Chitta , Wu, Chiyu , Callison-Burch, Chris , Waites, Chris , Voigt, Christian , Manning, Christopher D. , Potts, Christopher , Ramirez, Cindy , Rivera, Clara E. , Siro, Clemencia , Raffel, Colin , Ashcraft, Courtney , Garbacea, Cristina , Sileo, Damien , Garrette, Dan , Hendrycks, Dan , Kilman, Dan , Roth, Dan , Freeman, Daniel , Khashabi, Daniel , Levy, Daniel , González, Daniel Moseguí , Perszyk, Danielle , Hernandez, Danny , Chen, Danqi , Ippolito, Daphne , Gilboa, Dar , Dohan, David , Drakard, David , Jurgens, David , Datta, Debajyoti , Ganguli, Deep , Emelin, Denis , Kleyko, Denis , Yuret, Deniz , Chen, Derek , Tam, Derek , Hupkes, Dieuwke , Misra, Diganta , Buzan, Dilyar , Mollo, Dimitri Coelho , Yang, Diyi , Lee, Dong-Ho , Schrader, Dylan , Shutova, Ekaterina , Cubuk, Ekin Dogus , Segal, Elad , Hagerman, Eleanor , Barnes, Elizabeth , Donoway, Elizabeth , Pavlick, Ellie , Rodola, Emanuele , Lam, Emma , Chu, Eric , Tang, Eric , Erdem, Erkut , Chang, Ernie , Chi, Ethan A. , Dyer, Ethan , Jerzak, Ethan , Kim, Ethan , Manyasi, Eunice Engefu , Zheltonozhskii, Evgenii , Xia, Fanyue , Siar, Fatemeh , Martínez-Plumed, Fernando , Happé, Francesca , Chollet, Francois , Rong, Frieda , Mishra, Gaurav , Winata, Genta Indra , de Melo, Gerard , Kruszewski, Germán , Parascandolo, Giambattista , Mariani, Giorgio , Wang, Gloria , Jaimovitch-López, Gonzalo , Betz, Gregor , Gur-Ari, Guy , Galijasevic, Hana , Kim, Hannah , Rashkin, Hannah , Hajishirzi, Hannaneh , Mehta, Harsh , Bogar, Hayden , Shevlin, Henry , Schütze, Hinrich , Yakura, Hiromu , Zhang, Hongming , Wong, Hugh Mee , Ng, Ian , Noble, Isaac , Jumelet, Jaap , Geissinger, Jack , Kernion, Jackson , Hilton, Jacob , Lee, Jaehoon , Fisac, Jaime Fernández , Simon, James B. , Koppel, James , Zheng, James , Zou, James , Kocoń, Jan , Thompson, Jana , Wingfield, Janelle , Kaplan, Jared , Radom, Jarema , Sohl-Dickstein, Jascha , Phang, Jason , Wei, Jason , Yosinski, Jason , Novikova, Jekaterina , Bosscher, Jelle , Marsh, Jennifer , Kim, Jeremy , Taal, Jeroen , Engel, Jesse , Alabi, Jesujoba , Xu, Jiacheng , Song, Jiaming , Tang, Jillian , Waweru, Joan , Burden, John , Miller, John , Balis, John U. , Batchelder, Jonathan , Berant, Jonathan , Frohberg, Jörg , Rozen, Jos , Hernandez-Orallo, Jose , Boudeman, Joseph , Guerr, Joseph , Jones, Joseph , Tenenbaum, Joshua B. , Rule, Joshua S. , Chua, Joyce , Kanclerz, Kamil , Livescu, Karen , Krauth, Karl , Gopalakrishnan, Karthik , Ignatyeva, Katerina , Markert, Katja , Dhole, Kaustubh D. , Gimpel, Kevin , Omondi, Kevin , Mathewson, Kory , Chiafullo, Kristen , Shkaruta, Ksenia , Shridhar, Kumar , McDonell, Kyle , Richardson, Kyle , Reynolds, Laria , Gao, Leo , Zhang, Li , Dugan, Liam , Qin, Lianhui , Contreras-Ochando, Lidia , Morency, Louis-Philippe , Moschella, Luca , Lam, Lucas , Noble, Lucy , Schmidt, Ludwig , He, Luheng , Colón, Luis Oliveros , Metz, Luke , Şenel, Lütfi Kerem , Bosma, Maarten , Sap, Maarten , ter Hoeve, Maartje , Farooqi, Maheen , Faruqui, Manaal , Mazeika, Mantas , Baturan, Marco , Marelli, Marco , Maru, Marco , Quintana, Maria Jose Ramírez , Tolkiehn, Marie , Giulianelli, Mario , Lewis, Martha , Potthast, Martin , Leavitt, Matthew L. , Hagen, Matthias , Schubert, Mátyás , Baitemirova, Medina Orduna , Arnaud, Melody , McElrath, Melvin , Yee, Michael A. , Cohen, Michael , Gu, Michael , Ivanitskiy, Michael , Starritt, Michael , Strube, Michael , Swędrowski, Michał , Bevilacqua, Michele , Yasunaga, Michihiro , Kale, Mihir , Cain, Mike , Xu, Mimee , Suzgun, Mirac , Walker, Mitch , Tiwari, Mo , Bansal, Mohit , Aminnaseri, Moin , Geva, Mor , Gheini, Mozhdeh , T, Mukund Varma , Peng, Nanyun , Chi, Nathan A. , Lee, Nayeon , Krakover, Neta Gur-Ari , Cameron, Nicholas , Roberts, Nicholas , Doiron, Nick , Martinez, Nicole , Nangia, Nikita , Deckers, Niklas , Muennighoff, Niklas , Keskar, Nitish Shirish , Iyer, Niveditha S. , Constant, Noah , Fiedel, Noah , Wen, Nuan , Zhang, Oliver , Agha, Omar , Elbaghdadi, Omar , Levy, Omer , Evans, Owain , Casares, Pablo Antonio Moreno , Doshi, Parth , Fung, Pascale , Liang, Paul Pu , Vicol, Paul , Alipoormolabashi, Pegah , Liao, Peiyuan , Liang, Percy , Chang, Peter , Eckersley, Peter , Htut, Phu Mon , Hwang, Pinyu , Miłkowski, Piotr , Patil, Piyush , Pezeshkpour, Pouya , Oli, Priti , Mei, Qiaozhu , Lyu, Qing , Chen, Qinlang , Banjade, Rabin , Rudolph, Rachel Etta , Gabriel, Raefer , Habacker, Rahel , Risco, Ramon , Millière, Raphaël , Garg, Rhythm , Barnes, Richard , Saurous, Rif A. , Arakawa, Riku , Raymaekers, Robbe , Frank, Robert , Sikand, Rohan , Novak, Roman , Sitelew, Roman , LeBras, Ronan , Liu, Rosanne , Jacobs, Rowan , Zhang, Rui , Salakhutdinov, Ruslan , Chi, Ryan , Lee, Ryan , Stovall, Ryan , Teehan, Ryan , Yang, Rylan , Singh, Sahib , Mohammad, Saif M. , Anand, Sajant , Dillavou, Sam , Shleifer, Sam , Wiseman, Sam , Gruetter, Samuel , Bowman, Samuel R. , Schoenholz, Samuel S. , Han, Sanghyun , Kwatra, Sanjeev , Rous, Sarah A. , Ghazarian, Sarik , Ghosh, Sayan , Casey, Sean , Bischoff, Sebastian , Gehrmann, Sebastian , Schuster, Sebastian , Sadeghi, Sepideh , Hamdan, Shadi , Zhou, Sharon , Srivastava, Shashank , Shi, Sherry , Singh, Shikhar , Asaadi, Shima , Gu, Shixiang Shane , Pachchigar, Shubh , Toshniwal, Shubham , Upadhyay, Shyam , Shyamolima , Debnath , Shakeri, Siamak , Thormeyer, Simon , Melzi, Simone , Reddy, Siva , Makini, Sneha Priscilla , Lee, Soo-Hwan , Torene, Spencer , Hatwar, Sriharsha , Dehaene, Stanislas , Divic, Stefan , Ermon, Stefano , Biderman, Stella , Lin, Stephanie , Prasad, Stephen , Piantadosi, Steven T. , Shieber, Stuart M. , Misherghi, Summer , Kiritchenko, Svetlana , Mishra, Swaroop , Linzen, Tal , Schuster, Tal , Li, Tao , Yu, Tao , Ali, Tariq , Hashimoto, Tatsu , Wu, Te-Lin , Desbordes, Théo , Rothschild, Theodore , Phan, Thomas , Wang, Tianle , Nkinyili, Tiberius , Schick, Timo , Kornev, Timofei , Tunduny, Titus , Gerstenberg, Tobias , Chang, Trenton , Neeraj, Trishala , Khot, Tushar , Shultz, Tyler , Shaham, Uri , Misra, Vedant , Demberg, Vera , Nyamai, Victoria , Raunak, Vikas , Ramasesh, Vinay , Prabhu, Vinay Uday , Padmakumar, Vishakh , Srikumar, Vivek , Fedus, William , Saunders, William , Zhang, William , Vossen, Wout , Ren, Xiang , Tong, Xiaoyu , Zhao, Xinran , Wu, Xinyi , Shen, Xudong , Yaghoobzadeh, Yadollah , Lakretz, Yair , Song, Yangqiu , Bahri, Yasaman , Choi, Yejin , Yang, Yichi , Hao, Yiding , Chen, Yifu , Belinkov, Yonatan , Hou, Yu , Hou, Yufang , Bai, Yuntao , Seid, Zachary , Zhao, Zhuoye , Wang, Zijian , Wang, Zijie J. , Wang, Zirui , Wu, Ziyi
المساهمون:
Department of Philosophy
سنة النشر:
2022
مصطلحات موضوعية:
FOS: Computer and information sciences , Computer Science - Machine Learning , Computer Science - Computation and Language , Computer Science - Artificial Intelligence , cs.LG , cs.CL , Machine Learning (stat.ML) , cs.AI , stat.ML , Machine Learning (cs.LG) , Computer Science - Computers and Society , Artificial Intelligence (cs.AI) , Statistics - Machine Learning , Computers and Society (cs.CY) , Computation and Language (cs.CL) , cs.CY
الوصف:
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet poorly characterized. In order to inform future research, prepare for disruptive new model capabilities, and ameliorate socially harmful effects, it is vital that we understand the present and near-future capabilities and limitations of language models. To address this challenge, we introduce the Beyond the Imitation Game benchmark (BIG-bench). BIG-bench currently consists of 204 tasks, contributed by 450 authors across 132 institutions. Task topics are diverse, drawing problems from linguistics, childhood development, math, common-sense reasoning, biology, physics, social bias, software development, and beyond. BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models. We evaluate the behavior of OpenAI's GPT models, Google-internal dense transformer architectures, and Switch-style sparse transformers on BIG-bench, across model sizes spanning millions to hundreds of billions of parameters. In addition, a team of human expert raters performed all tasks in order to provide a strong baseline. Findings include: model performance and calibration both improve with scale, but are poor in absolute terms (and when compared with rater performance); performance is remarkably similar across model classes, though with benefits from sparsity; tasks that improve gradually and predictably commonly involve a large knowledge or memorization component, whereas tasks that exhibit "breakthrough" behavior at a critical scale often involve multiple steps or components, or brittle metrics; social bias typically increases with scale in settings with ambiguous context, but this can be improved with prompting.https://github.com/google/BIG-benchTest
وصف الملف:
application/pdf
اللغة:
English
الوصول الحر:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372d397a08509d21a1d1e1325394e2c2Test http://arxiv.org/abs/2206.04615Test
حقوق:
OPEN
رقم الانضمام:
edsair.doi.dedup.....372d397a08509d21a1d1e1325394e2c2
قاعدة البيانات:
OpenAIRE
