| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 919 | 2022 |
| Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs H Cho, D Ippolito, YW Yu arXiv preprint arXiv:2003.11511, 2020 | 528 | 2020 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 177 | 2022 |
| Automatic detection of generated text is easiest when humans are fooled D Ippolito, D Duckworth, C Callison-Burch, D Eck Proceedings of the Association for Computational Linguistics, 2020 | 135* | 2020 |
| Deduplicating training data makes language models better K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini arXiv preprint arXiv:2107.06499, 2021 | 134 | 2021 |
| The need for privacy with public digital contact tracing during the COVID-19 pandemic Y Bengio, R Janda, YW Yu, D Ippolito, M Jarvie, D Pilat, B Struck, ... The Lancet Digital Health 2 (7), e342-e344, 2020 | 126 | 2020 |
| Quantifying memorization across neural language models N Carlini, D Ippolito, M Jagielski, K Lee, F Tramer, C Zhang arXiv preprint arXiv:2202.07646, 2022 | 105 | 2022 |
| Comparison of Diverse Decoding Methods from Conditional Language Models D Ippolito, R Kriz, M Kustikova, J Sedoc, C Callison-Burch Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 83 | 2019 |
| Wordcraft: story writing with large language models A Yuan, A Coenen, E Reif, D Ippolito 27th International Conference on Intelligent User Interfaces, 841-852, 2022 | 62 | 2022 |
| Chateval: A tool for chatbot evaluation J Sedoc, D Ippolito, A Kirubarajan, J Thirani, L Ungar, C Callison-Burch Proceedings of the 2019 conference of the North American chapter of the …, 2019 | 57 | 2019 |
| A recipe for arbitrary text style transfer with large language models E Reif, D Ippolito, A Yuan, A Coenen, C Callison-Burch, J Wei arXiv preprint arXiv:2109.03910, 2021 | 53 | 2021 |
| Extracting training data from diffusion models N Carlini, J Hayes, M Nasr, M Jagielski, V Sehwag, F Tramer, B Balle, ... arXiv preprint arXiv:2301.13188, 2023 | 45 | 2023 |
| Inherent privacy limitations of decentralized contact tracing apps Y Bengio, D Ippolito, R Janda, M Jarvie, B Prud'homme, JF Rousseau, ... Journal of the American Medical Informatics Association 28 (1), 193-195, 2021 | 45 | 2021 |
| Covi white paper H Alsdurf, E Belliveau, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, ... arXiv preprint arXiv:2005.08502, 2020 | 43 | 2020 |
| Trading off diversity and quality in natural language generation H Zhang, D Duckworth, D Ippolito, A Neelakantan arXiv preprint arXiv:2004.10450, 2020 | 43 | 2020 |
| Unsupervised hierarchical story infilling D Ippolito, D Grangier, C Callison-Burch, D Eck Proceedings of the First Workshop on Narrative Understanding, 37-43, 2019 | 40 | 2019 |
| Wordcraft: a human-ai collaborative editor for story writing A Coenen, L Davis, D Ippolito, E Reif, A Yuan arXiv preprint arXiv:2107.07430, 2021 | 38 | 2021 |
| Learning translations via images with a massively multilingual image dataset J Hewitt, D Ippolito, B Callahan, R Kriz, DT Wijaya, C Callison-Burch Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 36 | 2018 |
| Counterfactual memorization in neural language models C Zhang, D Ippolito, K Lee, M Jagielski, F Tramèr, N Carlini arXiv preprint arXiv:2112.12938, 2021 | 29 | 2021 |
| RoFT: A tool for evaluating human detection of machine-generated text L Dugan, D Ippolito, A Kirubarajan, C Callison-Burch arXiv preprint arXiv:2010.03070, 2020 | 27 | 2020 |
Chris Callison-BurchAssociate Professor, University of PennsylvaniaVerifierad e-postadress på upenn.edu
