Fetching the paper…
Reading the bibliography…
Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research.
Language models are few-shot learners
Brown, T., B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al. (2020) · 1901
Earlier work this paper cites.
A mathematical theory of communication
Shannon, C. E. (1948) · 1948
Earlier work this paper cites.
A new two-sided cumulative quality control scheme
Crosier, R. B. (1986) · 1986
Earlier work this paper cites.
Time-series modeling for statistical process control
Alwan, L. C. and H. V. Roberts (1988) · 1988
Earlier work this paper cites.
Exponentially weighted moving average control schemes: properties and enhancements
Lucas, J. M. and M. S. Saccucci (1990) · 1990
Earlier work this paper cites.
On the monitoring of linear profiles
Kim, K., M. A. Mahmoud, and W. H. Woodall (2003) · 2003
Earlier work this paper cites.
qcc: an R package for quality control charting and statistical process control
Scrucca, L. (2004) · 2004
Earlier work this paper cites.
An example of statistical investigation of the text eugene onegin concerning the connection of samples in chains
Markov, A. A. (2006) · 2006
Earlier work this paper cites.
Current research on profile monitoring
Woodall, W. H. (2007) · 2007
Earlier work this paper cites.
Pair programming: what’s in it for me?
Begel, A. and N. Nagappan (2008) · 2008
Earlier work this paper cites.
Phase i statistical process control charts: An overview and some results
Chakraborti, S., S. Human, and M. Graham (2008) · 2008
Earlier work this paper cites.
A review and perspective on control charting with image data
Megahed, F. M., W. H. Woodall, and J. A. Camelio (2011) · 2011
Earlier work this paper cites.
What we learned from 5 million books
Michel, J.-B. and E. L. Aiden (2011) · 2011
Earlier work this paper cites.
Innovation, quality engineering, and statistics
Box, G. E. P. and W. H. Woodall (2012) · 2012
Earlier work this paper cites.
Statistical analysis of profile monitoring
Noorossana, R., A. Saghaei, and A. Amiri (2013) · 2013
Earlier work this paper cites.
Statistical process monitoring approach for high-density point clouds
Wells, L. J., F. M. Megahed, C. B. Niziolek, J. A. Camelio, and W. H. Woodall (2013) · 2013
Earlier work this paper cites.
Geometric charts with estimated control limits
Zhang, M., Y. Peng, A. Schuh, F. M. Megahed, and W. H. Woodall (2013) · 2013
Earlier work this paper cites.
An overview of phase i analysis for process improvement and monitoring
Jones-Farmer, L. A., W. H. Woodall, S. H. Steiner, and C. W. Champ (2014) · 2014
Earlier work this paper cites.
Statistical perspectives on “big data”
Megahed, F. M. and L. A. Jones-Farmer (2015) · 2015
Earlier work this paper cites.
The difficulty in designing Shewhart X and X-bar control charts with estimated parameters
Saleh, N. A., M. A. Mahmoud, M. J. Keefe, and W. H. Woodall (2015) · 2015
Earlier work this paper cites.
Statisticians as innovation leaders
Hockman, K. K. and W. A. Jensen (2016) · 2016
Earlier work this paper cites.
Statistical learning methods applied to process monitoring: An overview and perspective
Weese, M., W. Martinez, F. M. Megahed, and L. A. Jones-Farmer (2016) · 2016
Earlier work this paper cites.
Attention is all you need
Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin (2017) · 2017
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., M.-W. Chang, K. Lee, and K. Toutanova (2018) · 2018
Cited alongside, same era.
An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme
Maleki, M. R., A. Amiri, and P. Castagliola (2018) · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Radford, A., K. Narasimhan, T. Salimans, I. Sutskever, et al. (2018) · 2018
Cited alongside, same era.
Bias and generalization in deep generative models: An empirical study
Zhao, S., H. Ren, A. Yuan, J. Song, N. Goodman, and S. Ermon (2018) · 2018
Cited alongside, same era.
Discussion on “real-time monitoring of events applied to syndromic surveillance”
Megahed, F. M. (2019) · 2019
Cited alongside, same era.
California’s new gold rush: Big tech moves to gain the edge in AI
Constantz, J. (2023) · 2023
Closest in time.
ChatGPT for (finance) research: The Bananarama conjecture
Dowling, M. and B. Lucey (2023) · 2023
Closest in time.
How does ChatGPT perform on the United States Medical Licensing Examination? the implications of large language models for medical education and knowledge assessment
Gilson, A., C. W. Safranek, T. Huang, V. Socrates, L. Chi, R. A. Taylor, D. Chartash, et al. (2023) · 2023
Closest in time.
ChatGPT is not all you need. a state of the art review of large generative AI models
Gozalo-Brizuela, R. and E. C. Garrido-Merchan (2023) · 2023
Closest in time.
A new area of A.I. booms, even amid the tech gloom
Griffith, E. and C. Metz (2023, January) · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Fair generative modeling via weak supervision
Choi, K., A. Grover, T. Singh, R. Shu, and S. Ermon (2020, 13–18 Jul) · 2020
Cited alongside, same era.
Two perspectives for designing a phase II control chart with estimated parameters: The case of the Shewhart X-bar Chart
Jardim, F. S., S. Chakraborti, and E. K. Epprecht (2020) · 2020
Cited alongside, same era.
Introduction to Statistical Quality Control
Montgomery, D. (2020) · 2020
Cited alongside, same era.
Evaluating large language models trained on code
Chen, M., J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, et al. (2021) · 2021
Cited alongside, same era.
Artificial intelligence and statistics for quality technology: an introduction to the special issue
Colosimo, B. M., E. del Castillo, L. A. Jones-Farmer, and K. Paynabar (2021) · 2021
Cited alongside, same era.
Steady-state average run length(s) – methodology, formulas and numerics
Knoth, S. (2021) · 2021
Cited alongside, same era.
On the frequency bias of generative models
Schwarz, K., Y. Liao, and A. Geiger (2021) · 2021
Cited alongside, same era.
Huang, S., P. Grady, and GPT-3 (2022, September) · 2023
Closest in time.
A watermark for large language models
Kirchenbauer, J., J. Geiping, Y. Wen, J. Katz, I. Miers, and T. Goldstein (2023) · 2023
Closest in time.
Language models and cognitive automation for economic research
Korinek, A. (2023) · 2023
Closest in time.
Customizing GPT-3 for your application
Lim, R., M. Wu, and L. Miller (2021, December) · 2023
Closest in time.
Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web
Mehdi, Y. (2023) · 2023
Closest in time.
For authors: Initial submission guidelines
Nature (2023) · 2023
Closest in time.
ChatGPT: Optimizing language models for dialogue
OpenAI (2022a, November) · 2023
Closest in time.
Code completion
OpenAI (2022b, November) · 2023
Closest in time.
DALL.E 2
OpenAI (2022c, April) · 2023
Closest in time.
Toolformer: Language models can teach themselves to use tools
Schick, T., J. Dwivedi-Yu, R. Dessì, R. Raileanu, M. Lomeli, L. Zettlemoyer, N. Cancedda, and T. Scialom (2023) · 2023
Closest in time.
A quick tour of qcc
Scrucca, L. (2017, July) · 2023
Closest in time.
Text-To-4D dynamic scene generation
Singer, U., S. Sheynin, A. Polyak, O. Ashual, I. Makarov, F. Kokkinos, N. Goyal, A. Vedaldi, D. Parikh, J. Johnson, and Y. Taigman (2023) · 2023
Closest in time.
What ChatGPT and generative AI mean for science
Stokel-Walker, C. and R. Van Noorden (2023) · 2023
Closest in time.
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · 2023
Closest in time.
Characterizing emergent phenomena in large language models
Wei, J. and Y. Tay (2022, November) · 2023
Closest in time.
Toward general design principles for generative AI applications
Weisz, J. D., M. Muller, J. He, and S. Houde (2023) · 2023
Closest in time.
Monitoring univariate processes using control charts: Some practical issues and advice
Zwetsloot, I. M., L. A. Jones-Farmer, and W. H. Woodall (2023) · 2023
Closest in time.