Fetching the paper…
Reading the bibliography…
Large language models like ChatGPT efficiently provide users with information about various topics, presenting a potential substitute for searching the web and asking people for help online.
Schumpeter, J. A. (1942), Capitalism, socialism, and democracy
1942
Earlier work this paper cites.
Burbidge, J. B., Magee, L. & Robb, A. L. (1988), ‘Alternative transformations to handle extreme values of the dependent variable’, Journal of the American Statistical Association
1988
Earlier work this paper cites.
Arthur, W. B. (1989), ‘Competing technologies, increasing returns, and lock-in by historical events’, The Economic Journal
1989
Earlier work this paper cites.
Aghion, P. & Howitt, P. (1992), ‘A model of growth through Creative Destruction’, Econometrica
1992
Earlier work this paper cites.
Lerner, J. & Tirole, J. (2002), ‘Some simple economics of open source’, The journal of industrial economics
2002
Earlier work this paper cites.
Hess, C. & Ostrom, E. (2003), ‘Ideas, artifacts, and facilities: information as a common-pool resource’, Law and contemporary problems
2003
Earlier work this paper cites.
Henzinger, M. & Lawrence, S. (2004), ‘Extracting knowledge from the world wide web’, Proceedings of the National Academy of Sciences
2004
Earlier work this paper cites.
Evans, J. A. (2008), ‘Electronic publication and the narrowing of science and scholarship’, science
2008
Earlier work this paper cites.
Mamykina, L., Manoim, B., Mittal, M., Hripcsak, G. & Hartmann, B. (2011), Design lessons from the fastest q&a site in the west, in
2011
Earlier work this paper cites.
Anderson, A., Huttenlocher, D., Kleinberg, J. & Leskovec, J. (2012), Discovering value from community activity on focused question answering sites: a case study of Stack Overflow, in
2012
Earlier work this paper cites.
Gousios, G. & Spinellis, D. (2012), Ghtorrent: Github’s data from a firehose, in
2012
Earlier work this paper cites.
Taleb, N. N. (2012), Antifragile: How to live in a world we don’t understand
2012
Earlier work this paper cites.
Correa, D. & Sureka, A. (2013), Fit or unfit: analysis and prediction of’closed questions’ on stack overflow, in
2013
Earlier work this paper cites.
Danescu-Niculescu-Mizil, C., West, R., Jurafsky, D., Leskovec, J. & Potts, C. (2013), No country for old members: User lifecycle and linguistic change in online communities, in
2013
Earlier work this paper cites.
Greenstein, S. & Nagle, F. (2014), ‘Digital dark matter and the economic contribution of apache’, Research Policy
2014
Earlier work this paper cites.
McMahon, C., Johnson, I. & Hecht, B. (2017), The substantial interdependence of Wikipedia and Google: A case study on the relationship between peer production communities and information technologies, in
2017
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł. & Polosukhin, I. (2017), ‘Attention is all you need’, Advances in neural information processing systems
2017
Earlier work this paper cites.
Vincent, N., Johnson, I. & Hecht, B. (2018), Examining Wikipedia with a broader lens: Quantifying the value of Wikipedia’s relationships with other large-scale online communities, in
2018
Cited alongside, same era.
Acemoglu, D. & Restrepo, P. (2019), ‘Automation and new tasks: How technology displaces and reinstates labor’, Journal of Economic Perspectives
2019
Cited alongside, same era.
Lemmerich, F., Sáez-Trumper, D., West, R. & Zia, L. (2019), Why the world reads wikipedia: Beyond english speakers, in
2019
Cited alongside, same era.
Rock, D. (2019), ‘Engineering value: The returns to technological talent and investments in artificial intelligence’, Available at SSRN 3427412
2019
Cited alongside, same era.
Kummer, M., Slivko, O. & Zhang, X. (2020), ‘Unemployment and digital public goods contribution’, Information Systems Research
2020
Grossmann, I., Feinberg, M., Parker, D. C., Christakis, N. A., Tetlock, P. E. & Cunningham, W. A. (2023), ‘AI and the transformation of social science research’, Science
2023
Closest in time.
Gu, H., Schreyer, M., Moffitt, K. & Vasarhelyi, M. A. (2023), ‘Artificial intelligence co-piloted auditing’, Available at SSRN 4444763
2023
Closest in time.
2023
Closest in time.
Guo, T., Guo, K., Liang, Z., Guo, Z., Chawla, N., Wiest, O., Zhang, X. et al. (2023), ‘What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks’, arXiv: 2305.18365
2023
Closest in time.
Johnson, S. & Acemoglu, D. (2023), Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Xu, L., Nian, T. & Cabral, L. (2020), ‘What makes geeks tick? A study of Stack Overflow careers’, Management Science
2020
Cited alongside, same era.
Conti, A., Peukert, C. & Roche, M. P. (2021), ‘Beefing it up for your investor? open sourcing and startup funding: Evidence from github’, Open Sourcing and Startup Funding: Evidence from GitHub (August 25, 2021)
2021
Cited alongside, same era.
Piccardi, T., Redi, M., Colavizza, G. & West, R. (2021), On the Value of Wikipedia as a Gateway to the Web, in
2021
Cited alongside, same era.
Vincent, N. & Hecht, B. (2021), ‘A deeper investigation of the importance of wikipedia links to search engine results’, Proceedings of the ACM on Human-Computer Interaction
2021
Cited alongside, same era.
Lehdonvirta, V. (2022), Cloud empires: How digital platforms are overtaking the state and how we can regain control
2022
Cited alongside, same era.
Villalobos, P., Sevilla, J., Heim, L., Besiroglu, T., Hobbhahn, M. & Ho, A. (2022), ‘Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning’, arXiv preprint 2211.04325
2022
Cited alongside, same era.
Alemohammad, S., Casco-Rodriguez, J., Luzi, L., Humayun, A. I., Babaei, H., LeJeune, D., Siahkoohi, A. & Baraniuk, R. G. (2023), ‘Self-consuming generative models go mad’
2023
Cited alongside, same era.
2023
Closest in time.
Kanjee, Z., Crowe, B. & Rodman, A. (2023), ‘Accuracy of a generative artificial intelligence model in a complex diagnostic challenge’, JAMA
2023
Closest in time.
Kreitmeir, D. H. & Raschky, P. A. (2023), ‘The Unintended Consequences of Censoring Digital Technology–Evidence from Italy’s ChatGPT Ban’, arXiv preprint 2304.09339
2023
Closest in time.
Li, H., Vincent, N., Chancellor, S. & Hecht, B. (2023), The dimensions of data labor: A road map for researchers, activists, and policymakers to empower data producers, in
2023
Closest in time.
Noy, S. & Zhang, W. (2023), ‘Experimental evidence on the productivity effects of generative artificial intelligence’, Science
2023
Closest in time.
OpenAI (2023), ‘GPT-4 Technical Report’
2023
Closest in time.
2023
Closest in time.
Shumailov, I., Shumaylov, Z., Zhao, Y., Gal, Y., Papernot, N. & Anderson, R. (2023), ‘The curse of recursion: Training on generated data makes models forget’, arXiv preprint 2305.17493v2
2023
Closest in time.
Smith, M. J. & Geach, J. E. (2023), ‘Astronomia ex machina: a history, primer and outlook on neural networks in astronomy’, Royal Society Open Science
2023
Closest in time.
Teubner, T., Flath, C. M., Weinhardt, C., van der Aalst, W. & Hinz, O. (2023), ‘Welcome to the era of ChatGPT et al. the prospects of large language models’, Business & Information Systems Engineering
2023
Closest in time.
Veselovsky, V., Ribeiro, M. H. & West, R. (2023), ‘Artificial artificial artificial intelligence: Crowd workers widely use large language models for text production tasks’, arXiv preprint 2306.07899
2023
Closest in time.